#oracle middleware

[lisaward867]

Top Blockchain Application Development Services in 2025

Over recent years, the blockchain sector has reached a certain level of maturity. Adoption is currently peaking across industries such as banking, healthcare, logistics, and digital identity. Hence, businesses are not tinkering with blockchain anymore; they want to build real, scalable solutions. Providing Blockchain app development services forms the backbone of these innovations, assisting businesses in transforming their decentralized concepts into reality through expert consultation, development, and support. Such services become vital for any company wishing to stay ahead, cut inefficiencies, and forge a secure digital ecosystem worthy of user trust.

1. End-to-End Blockchain Consulting and Strategy

The very start of any successful blockchain solution rests upon a strategic foundation. Top engineers don't just dive into writing code but guide you in every step of crafting a solution. In general, the consulting process comprises the identification of use cases, choice of the right blockchain protocol (be it Ethereum, Solana, or Hyperledger), and if applicable, the designing of tokenomics. This is followed by an assessment in 2025 of how scalable, interoperable, and fit within regulations each solution is considered to be. They then begin working alongside the stakeholders in defining the milestones that they must achieve on the path to avoid technical pitfalls and create a realistic roadmap that aligns itself with the short-term objectives and the long-term vision of another party. Hence, this layer ensures that strategic projects are not built and their success lies within this frame.

2. Smart Contract Development

Smart contracts are programmable engines behind almost every blockchain application. These contracts self-execute, thereby removing intermediaries, limiting chances of fraud, and allowing for consistent execution. In 2025, top-tier blockchain development firms provide high-end smart contract development with a few extra features such as gas optimization, modular logic, upgradeability, and a fluid way to consume external data from oracles. The companies undertake further testing in testnets and audit across tools and manual auditing. Whether you are trying to build a DeFi protocol, an NFT marketplace, or a DAO voting system, the backbone is a good smart contract that is usually ensured by top developers for strength and safety.

3. dApp Development Across Multiple Platforms

dApps are becoming crucial to countless industries, their doors open to censorship resistance, user control, and global reach. The most trusted blockchain app developers in the year 2025 will provide full-cycle dApp development, beginning with user-centric design and finalizing with a rock-solid backend infrastructure and blockchain layer integration. They have the capability to make the application cross-chain, like Ethereum, Avalanche, Arbitrum, or BNB Chain. Services also extend to wallet integrations (such as MetaMask and WalletConnect), gasless transactions, and token gating. Furthermore, the professionals are now including AI capabilities inside the dApp for enhanced user experience, workflow automation, and decision support.

4. Blockchain Integration with Legacy Systems

Many enterprises operate on legacy infrastructure that simply does not support decentralized applications. Yet, the best blockchain service providers foster the capacity to address this gap through custom-built middleware solutions. These integrations connect the blockchain networks with CRMs or ERP systems such as SAP or Oracle; cloud environments, including AWS and Azure; and conventional databases. With such advanced feature capabilities as real-time syncing, event triggers, and data mirroring between the on-chain and off-chain layers, companies can go the last mile and apply blockchains in operations without interrupting any processes. Moreover, besides acting as technical compatibility services, they add alternative layers for compliance and audit trails that regulated industries may require, such as finance and healthcare.

5. NFT and Tokenization Solutions

NFT technologies will make everything possible to be tokenized across industries everywhere in the year 2025-from tokenizing of properties, luxury items, digital identities, to academic credentials. Major blockchain developers deliver an end-to-end NFT solution including token creation (ERC-721, ERC-1155, etc.), marketplace development, cross-chain minting, and intricate advanced metadata management. Compatibility with legal regulations incorporating royalties, auction systems, and secondary sale mechanisms is also considered. With an increasing demand to tokenize real-world assets, companies are relying on experienced developers to build secure, scalable platforms that enable liquidity and digital ownership.

6. Private and Consortium Blockchain Development

Private blockchain systems, and more so consortium ones, are preferred in many businesses to control access, increase transaction speed, and maintain confidentiality, in contrast to public systems that are ideal for transparency. Custom solutions are provided by blockchain developers in 2025 using Hyperledger Fabric, R3 Corda, and Quorum, among others. These services include setting up the network, managing permissions, deploying smart contracts, assigning roles and access, and more. Defining governance structures will also be aided by them together with processes for onboarding and rules for consortium members. For industries such as supply chain, insurance, or healthcare, where privacy and control are a top concern, these private blockchain solutions strike a perfect balance between innovation and compliance.

7. Blockchain Maintenance and Support

Once your blockchain application goes live, it needs to be continuously monitored and maintained to remain functional, secure, and updated. The elite service providers offer 24/7 monitoring, performance optimization, scalability improvements, and bug fixing on the fly. They provide dashboards for real-time analytics and support upgrades when protocols differ and even have features for end-user support. A proactive approach to maintenance will ensure that your blockchain app continues to deliver value, adapt to user demands, and comply with network upgrades or regulatory mandates. Long-term support is especially vital in keeping up with the rapid advancement brought about in the blockchain landscape.

8. Web3 Wallet and Exchange Development

Since wallets and exchanges make the bridge to the blockchain world, they have to act as the foundational pillars of Web3. By 2025, crème de la crème developers will be building Web3 wallets furnished with biometric login support, multi-chain token support, staking options, and DEXs-in-the-app themselves. They also make sure to engineer safe, compliant crypto exchanges, both decentralized and centralized, bearing features such as real-time trade engines, liquidity management, fiat gateways, and user verification workings. The applications should support heavy load, attack resilience, and have a flawless user experience on a desktop as well as on mobile.

Conclusion

The increase in blockchain adoption in 2025 changed the transparency, automation, and security expectations of conducting business. However, developing a successful blockchain solution requires more than just passion: it takes skills, planning, and execution. The greatest opportunities decentralization has to give are granted to those who choose a firm that offers trustworthy, scalable, and future-ready custom blockchain app development services. When it comes to solving business problems through blockchain, smart contract development, dApp development, NFT development, and enterprise blockchain development, the right partner will ensure that the blockchain story of the client is both creative and meaningful.

[udayadaequarelistany]

How to Integrate E-Invoicing with Existing ERP Systems: A Step-by-Step Guide

As governments across the globe mandate digital compliance, e-invoicing has become a critical requirement — especially in countries like India under the GST regime. Businesses using ERP systems must now ensure that their software can generate, transmit, and validate invoices with the Invoice Registration Portal (IRP) in real time. Integrating e-invoicing with your existing ERP system ensures compliance, enhances efficiency, and reduces manual errors.

In this article, we’ll walk you through how to seamlessly integrate e-invoicing with your ERP system and ensure compliance without disrupting your workflow. Whether you are using a simple ERP or an advanced ERP with CRM features, this guide will help you get started.

What Is E-Invoicing?

E-invoicing (electronic invoicing) is the process of submitting an invoice electronically to the government’s IRP (Invoice Registration Portal) in a structured JSON format. Once verified, the IRP returns a signed e-invoice with an Invoice Reference Number (IRN) and a QR code, making it legally valid under GST. This system helps in real-time invoice tracking, improves accuracy, and reduces tax fraud.

Why Integrate E-Invoicing with Your ERP System?

Manual e-invoice generation is time-consuming and error-prone. Integrating e-invoicing into your ERP software brings several key benefits. It enables real-time invoice validation, eliminates manual data entry, and significantly reduces the risk of GST compliance issues. The process becomes fully automated, allowing the system to generate IRNs and QR codes instantly upon invoice creation.

If you’re using ERP for inventory management, e-invoicing integration further ensures that your stock movement and billing records are tightly synchronized, reducing mismatches and improving real-time visibility across departments. Similarly, in sectors like the pharmaceutical industry, where batch tracking and regulatory compliance are critical, e-invoicing via ERP enhances audit readiness and reduces manual overhead.

Step-by-Step Guide: Integrating E-Invoicing with ERP Systems

Step 1: Understand ERP Compatibility

The first step is to ensure that your ERP system supports external API integrations or allows plugin/module installations. Most modern ERP platforms — like SAP, Oracle, Microsoft Dynamics, Tally, or even custom ERP solutions — are built to support API communication or middleware integration. If you’re using an older system, you may need a middleware solution to bridge the gap between your ERP and the government portal.

Whether you’re running a manufacturing unit, retail operation, or using a domain-specific solution like ERP for the pharmaceutical industry, compatibility with e-invoicing APIs is a critical first step.

Step 2: Choose an E-Invoicing API Provider or GSP

You have two integration paths. Larger enterprises can directly integrate their ERP with NIC’s e-invoicing API. However, most businesses prefer using a GSP (GST Suvidha Provider) or ASP (Application Service Provider), which simplifies the integration process and offers value-added features. Providers like ClearTax, Zoho, IRIS, and others offer APIs, dashboards, and compliance management tools to make the transition seamless.

When selecting your provider, ensure they offer modules that are adaptable to ERP with CRM capabilities, especially if your CRM is heavily integrated into your order-to-cash cycle.

Step 3: Configure the API Bridge

Once your ERP is ready, the next step is to configure an API bridge. This means your ERP must be able to extract invoice data in the GST-compliant JSON format, transmit it to the IRP (either directly or via a GSP), and then receive a response containing the IRN, signed invoice, and QR code.

For companies using ERP for inventory management, it’s essential that this integration also considers real-time stock availability and batch number data, ensuring that what’s invoiced matches what’s actually shipped.

Step 4: Map ERP Fields to E-Invoice Schema

Accurate field mapping is crucial for successful integration. The e-invoice schema includes data such as supplier and buyer GSTIN, invoice type, document number, invoice date, item-level details, HSN/SAC codes, tax breakup (CGST, SGST, IGST), and more. Each of these fields in your ERP system must align correctly with the corresponding fields in the e-invoice schema (latest version, e.g., 1.1).

Industries like pharma, where regulations are stringent, benefit immensely from well-mapped schemas in their ERP for pharmaceutical industry setups, ensuring every invoice meets both GST and sector-specific compliance requirements.

Step 5: Automate JSON Generation

Develop or install a script, plugin, or module that automatically converts finalized invoice data into the required JSON format. This should happen seamlessly in the background every time a sales invoice is saved or posted in your ERP. Automating this process reduces human intervention and ensures the correct format is always used for submission.

If you’re using an ERP with CRM integration, automation should also include customer-specific invoice workflows, ensuring timely communication and delivery confirmation.

Step 6: Real-Time Validation and Response Handling

When the invoice JSON is submitted, the IRP returns a response in real time. This response includes the Invoice Reference Number (IRN), the digitally signed invoice, and the QR code. Your ERP should automatically capture this response and update the original invoice with these values. It should also support invoice printing with the IRN and QR code embedded, as per GST compliance norms.

This is especially valuable in sectors like distribution or the pharmaceutical industry, where invoices must accompany product shipments, and compliance documents must be flawless.

Step 7: Error Logging and Notifications

Finally, you need to implement robust error-handling mechanisms. Your ERP should log all failed attempts due to schema mismatches, missing fields, invalid GSTINs, or API communication errors. It should also alert your accounts or IT teams with real-time notifications so they can quickly resolve issues and resend the invoice data.

In setups that use ERP for inventory management, prompt resolution of such errors ensures that stock isn’t held up due to invoice issues, maintaining operational continuity.

Common ERP Systems and E-Invoicing Integration

Different ERP systems have varying levels of support and flexibility when it comes to e-invoicing integration. For instance, SAP ECC and S/4 HANA typically use SAP PI/PO (Process Integration/Process Orchestration) or a third-party GSP (GST Suvidha Provider) add-on to facilitate seamless e-invoice generation and validation. Tally Prime, on the other hand, comes equipped with a built-in e-invoicing module, making integration straightforward for users of this popular accounting software.

For businesses using Microsoft Dynamics, integration can be achieved using REST APIs or through automation tools like Power Automate, enabling smooth data flow between the ERP and the Invoice Registration Portal (IRP). Oracle NetSuite leverages SuiteScript, combined with middleware APIs, to manage the transformation and transmission of e-invoice data in compliance with GST norms. Finally, organizations using custom ERP systems can implement integration through REST APIs with JSON handling, allowing them to tailor the e-invoicing process to their specific data structure and workflow needs.

Whether you’re operating a mid-sized trading firm, a large manufacturing company, or working with an ERP with CRM and inventory modules, these systems offer the flexibility to match your compliance needs.

Bonus: Integration Checklist

Before going live, use this checklist to ensure you’re ready:

✅ Your ERP system supports API or middleware integration

✅ All invoice fields are correctly mapped to the latest e-invoice schema

✅ JSON generation module is implemented

✅ API credentials (Client ID and Secret) are obtained from NIC or your GSP

✅ Your ERP handles IRP responses and embeds QR codes into invoices

✅ Proper logging and error alert systems are in place

Final Thoughts

Integrating e-invoicing into your ERP system is no longer optional — it’s essential for regulatory compliance and operational efficiency. Whether you choose a direct API connection or use a GSP/ASP for the process, the key lies in real-time automation and a seamless data exchange between your ERP and the IRP. This not only ensures timely GST compliance but also reduces costs, errors, and audit risks.

Whether you’re using ERP for inventory management, ERP for the pharmaceutical industry, or a robust ERP with CRM functionality, aligning your technology stack with e-invoicing requirements ensures your business remains agile, compliant, and future-ready.

If you’re looking for expert help in integrating e-invoicing with your ERP system, reach out to us for a custom ERP-GST integration solution that suits your specific business needs.

FAQs on E-Invoicing ERP Integration

Q1: Can I use Excel uploads for e-invoicing instead of integration? Yes, but it’s only suitable for low invoice volumes. Integration is ideal for scaling and real-time compliance.

Q2: Do small businesses need to integrate e-invoicing with ERP? Only if their annual turnover exceeds the threshold set by the government (₹5 Cr or ₹10 Cr as per latest rules). Below that, it’s optional.

Q3: Is GSP mandatory for e-invoicing? No, but using a GSP simplifies implementation, provides support, and comes with features like dashboards, reconciliation, and auto-sync.

[cybersecurityict]

Semantic Knowledge Graphing Market Size, Share, Analysis, Forecast, and Growth Trends to 2032: Transforming Data into Knowledge at Scale

The Semantic Knowledge Graphing Market was valued at USD 1.61 billion in 2023 and is expected to reach USD 5.07 billion by 2032, growing at a CAGR of 13.64% from 2024-2032.

The Semantic Knowledge Graphing Market is rapidly evolving as organizations increasingly seek intelligent data integration and real-time insights. With the growing need to link structured and unstructured data for better decision-making, semantic technologies are becoming essential tools across sectors like healthcare, finance, e-commerce, and IT. This market is seeing a surge in demand driven by the rise of AI, machine learning, and big data analytics, as enterprises aim for context-aware computing and smarter data architectures.

Semantic Knowledge Graphing Market Poised for Strategic Transformation this evolving landscape is being shaped by an urgent need to solve complex data challenges with semantic understanding. Companies are leveraging semantic graphs to build context-rich models, enhance search capabilities, and create more intuitive AI experiences. As the digital economy thrives, semantic graphing offers a foundation for scalable, intelligent data ecosystems, allowing seamless connections between disparate data sources.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/6040 

Market Keyplayers:

Amazon.com Inc. (Amazon Neptune, AWS Graph Database)

Baidu, Inc. (Baidu Knowledge Graph, PaddlePaddle)

Facebook Inc. (Facebook Graph API, DeepText)

Google LLC (Google Knowledge Graph, Google Cloud Dataproc)

Microsoft Corporation (Azure Cosmos DB, Microsoft Graph)

Mitsubishi Electric Corporation (Maisart AI, MELFA Smart Plus)

NELL (Never-Ending Language Learner, NELL Knowledge Graph)

Semantic Web Company (PoolParty Semantic Suite, Semantic Middleware)

YAGO (YAGO Knowledge Base, YAGO Ontology)

Yandex (Yandex Knowledge Graph, Yandex Cloud ML)

IBM Corporation (IBM Watson Discovery, IBM Graph)

Oracle Corporation (Oracle Spatial and Graph, Oracle Cloud AI)

SAP SE (SAP HANA Graph, SAP Data Intelligence)

Neo4j Inc. (Neo4j Graph Database, Neo4j Bloom)

Databricks Inc. (Databricks GraphFrames, Databricks Delta Lake)

Stardog Union (Stardog Knowledge Graph, Stardog Studio)

OpenAI (GPT-based Knowledge Graphs, OpenAI Embeddings)

Franz Inc. (AllegroGraph, Allegro CL)

Ontotext AD (GraphDB, Ontotext Platform)

Glean (Glean Knowledge Graph, Glean AI Search)

Market Analysis

The Semantic Knowledge Graphing Market is transitioning from a niche segment to a critical component of enterprise IT strategy. Integration with AI/ML models has shifted semantic graphs from backend enablers to core strategic assets. With open data initiatives, industry-standard ontologies, and a push for explainable AI, enterprises are aggressively adopting semantic solutions to uncover hidden patterns, support predictive analytics, and enhance data interoperability. Vendors are focusing on APIs, graph visualization tools, and cloud-native deployments to streamline adoption and scalability.

Market Trends

AI-Powered Semantics: Use of NLP and machine learning in semantic graphing is automating knowledge extraction and relationship mapping.

Graph-Based Search Evolution: Businesses are prioritizing semantic search engines to offer context-aware, precise results.

Industry-Specific Graphs: Tailored graphs are emerging in healthcare (clinical data mapping), finance (fraud detection), and e-commerce (product recommendation).

Integration with LLMs: Semantic graphs are increasingly being used to ground large language models with factual, structured data.

Open Source Momentum: Tools like RDF4J, Neo4j, and GraphDB are gaining traction for community-led innovation.

Real-Time Applications: Event-driven semantic graphs are now enabling real-time analytics in domains like cybersecurity and logistics.

Cross-Platform Compatibility: Vendors are prioritizing seamless integration with existing data lakes, APIs, and enterprise knowledge bases.

Market Scope

Semantic knowledge graphing holds vast potential across industries:

Healthcare: Improves patient data mapping, drug discovery, and clinical decision support.

Finance: Enhances fraud detection, compliance tracking, and investment analysis.

Retail & E-Commerce: Powers hyper-personalized recommendations and dynamic customer journeys.

Manufacturing: Enables digital twins and intelligent supply chain management.

Government & Public Sector: Supports policy modeling, public data transparency, and inter-agency collaboration.

These use cases represent only the surface of a deeper transformation, where data is no longer isolated but intelligently interconnected.

Market Forecast

As AI continues to integrate deeper into enterprise functions, semantic knowledge graphs will play a central role in enabling contextual AI systems. Rather than just storing relationships, future graphing solutions will actively drive insight generation, data governance, and operational automation. Strategic investments by leading tech firms, coupled with the rise of vertical-specific graphing platforms, suggest that semantic knowledge graphing will become a staple of digital infrastructure. Market maturity is expected to rise rapidly, with early adopters gaining a significant edge in predictive capability, data agility, and innovation speed.

Access Complete Report: https://www.snsinsider.com/reports/semantic-knowledge-graphing-market-6040 

Conclusion

The Semantic Knowledge Graphing Market is no longer just a futuristic concept—it's the connective tissue of modern data ecosystems. As industries grapple with increasingly complex information landscapes, the ability to harness semantic relationships is emerging as a decisive factor in digital competitiveness.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

[licensingoracle]

Oracle Technology Price List

The Oracle Technology Price List outlines the costs associated with Oracle software and services, including licenses, support, and subscriptions. It provides detailed pricing for products like databases, middleware, and analytics. Businesses use the price list to plan budgets, compare options, and negotiate terms. Understanding this document is crucial for managing expenses and ensuring informed decisions in Oracle technology procurement.

Oracle Technology Price List

[besthrmsinpakistan]

HRMS vs Manxel

Why Some Organizations Struggle with Integrating HR Systems Like Oracle HRMS

And why HR platforms like Manxel are emerging as a smarter choice in Pakistan

As organizations race to modernize their workflows and digitize employee experiences, integrating legacy HR systems into cloud-based platforms has become a major challenge. One of the most powerful—but also most complex—systems on the market is Oracle HRMS, which offers enterprise-grade functionality. Yet many companies find themselves stuck when trying to connect it with their existing SaaS infrastructure.

In Pakistan, where businesses are increasingly embracing digital transformation, the need for flexible, integration-friendly HR solutions is growing fast. And that’s where Manxel, a leading homegrown HRMS platform, is making a real difference.

The Oracle HRMS Integration Challenge

Oracle HRMS is designed for large-scale operations, offering robust modules for core HR, payroll, talent management, and compliance. However, its power comes with complexity.

Here are a few key reasons why organizations struggle to integrate Oracle HRMS with other SaaS tools:

1. Legacy Architecture

Many enterprises have existing systems built on older technologies. Oracle’s integration often requires specialized middleware, APIs, and custom configurations that don't always align with modern SaaS platforms.

2. Data Security & Compliance

Integrating sensitive HR data across platforms introduces potential risks. Without strong encryption, access control, and data governance, integrations can expose companies to regulatory non-compliance—especially with laws like GDPR or local data protection laws. 3. Customization Overload

Oracle HRMS is highly customizable, but over-customization can break integrations or require constant developer involvement. Each tailored feature adds another layer of complexity to an already detailed system.

4. Lack of In-House Expertise

In many organizations, the internal IT team may not have the deep Oracle-specific knowledge needed to handle integrations properly. The learning curve can be steep, and hiring specialists is costly.

 5. Slow Deployment Cycles

While SaaS platforms are known for speed and agility, Oracle HRMS deployments and integrations often follow enterprise-level rollout cycles—lengthy, resource-heavy, and slow to adapt to change.

The Shift Toward Smarter HR Platforms

Recognizing these challenges, many companies—especially SMEs and mid-sized enterprises in Pakistan—are shifting toward more agile, locally supported HR solutions. This is where Manxel comes in.

Why Manxel is Gaining Traction as One of the Best HRM Platforms in Pakistan

Manxel is a modern HRMS built specifically for the needs of growing businesses in Pakistan and beyond. It offers the core functionality of global HR systems like Oracle—such as payroll, attendance, performance management, and compliance—while maintaining ease of integration, affordability, and local support.

Key Advantages of Manxel:

Cloud-native architecture for seamless integration with other SaaS tools

Localized compliance with Pakistan’s labor laws and tax regulations

Modular features that grow with your business

User-friendly interface that reduces the need for technical training

Real-time analytics and dashboards for smarter HR decisions

Affordable pricing for businesses of all sizes

Whether you're a startup scaling rapidly or an established company looking to upgrade legacy systems, Manxel provides a smarter, simpler alternative to complex enterprise HR software.

Final Thoughts

Integrating Oracle HRMS into a modern tech stack is no easy task. While it offers deep functionality, the time, cost, and technical requirements can be overwhelming for many businesses. That’s why more organizations in Pakistan are choosing agile platforms like Manxel—solutions that are designed for modern teams, easy to integrate, and ready for the future of work.

[erpsoftwaredubaiuae]

Integration of Warehouse Management Software with ERP Systems in Dubai

In today's fast-paced and digitally-driven business environment, companies in Dubai are continuously looking for ways to enhance operational efficiency, reduce costs, and improve customer satisfaction. One significant step towards achieving these goals is the integration of Warehouse Management Software (WMS) with Enterprise Resource Planning (ERP) systems.

This integration is not just a trend—it's a necessity for companies seeking seamless business operations, especially in logistics-heavy sectors like retail, manufacturing, distribution, and e-commerce. Let’s explore why this integration matters and how it benefits businesses in Dubai.

Why Integration Matters

Warehouse Management Software handles the day-to-day operations of a warehouse: inventory tracking, receiving, picking, packing, and shipping. ERP systems, on the other hand, manage broader business functions—accounting, sales, procurement, HR, and more. When these systems operate in silos, data inconsistency and communication gaps can occur, leading to delays, errors, and increased costs.

Integrating WMS with ERP allows for real-time data flow between warehouse operations and other departments. This ensures that every part of the business works with up-to-date, accurate information.

Key Benefits of Integration in the Dubai Market

1. Enhanced Inventory Visibility

Dubai’s retail and distribution sectors rely heavily on real-time inventory insights. Integration ensures that stock levels, item locations, and movement data are always synchronized between the warehouse and business management systems.

2. Improved Order Accuracy

With integrated systems, order information flows directly from the sales module of the ERP to the warehouse, reducing the risk of picking and shipping errors. This leads to faster fulfillment and higher customer satisfaction.

3. Streamlined Supply Chain

Dubai serves as a key logistics hub in the Middle East. Integration helps businesses manage complex supply chains more efficiently by providing centralized control over purchasing, warehousing, and distribution.

4. Faster Decision Making

Real-time reporting and analytics across both systems allow management to make data-driven decisions quickly—critical in the highly competitive Dubai market.

5. Regulatory Compliance

With the UAE's strict VAT and import/export regulations, integrated systems help ensure accurate record-keeping and compliance with legal requirements.

Industries in Dubai Benefiting from WMS-ERP Integration

Retail & E-commerce: To handle rapid order processing and same-day delivery demands.

FMCG & Distribution: For accurate stock control and automated replenishment.

Construction & Building Materials: For managing large inventories across multiple warehouses.

Pharmaceuticals: To ensure regulatory compliance and traceability.

Choosing the Right Integration Approach

Businesses in Dubai should work with software providers who offer customizable, scalable integration options. Whether through API-based connections, middleware solutions, or native integrations, the goal is to ensure smooth, uninterrupted data flow.

Some popular ERP platforms used in Dubai (like SAP, Microsoft Dynamics, and Oracle NetSuite) offer plug-and-play integrations with advanced WMS systems, reducing the need for custom development.

Conclusion

The integration of Warehouse Management Software Dubai with ERP systems is a game-changer for businesses in Dubai. It aligns warehouse operations with broader business goals, drives efficiency, and enhances customer service. As Dubai continues to grow as a global trade and commerce hub, investing in integrated digital solutions is no longer optional—it's essential for long-term success.

[differenttimemachinecrusade]

Serverless Computing Market Growth Analysis and Forecast Report 2032

The Serverless Computing Market was valued at USD 19.30 billion in 2023 and is expected to reach USD 70.52 billion by 2032, growing at a CAGR of 15.54% from 2024-2032.

The serverless computing market has gained significant traction over the last decade as organizations increasingly seek to build scalable, agile, and cost-effective applications. By allowing developers to focus on writing code without managing server infrastructure, serverless architecture is reshaping how software and cloud applications are developed and deployed. Cloud service providers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) are at the forefront of this transformation, offering serverless solutions that automatically allocate computing resources on demand. The flexibility, scalability, and pay-as-you-go pricing models of serverless platforms are particularly appealing to startups and enterprises aiming for digital transformation and faster time-to-market.

Serverless Computing Market adoption is expected to continue rising, driven by the surge in microservices architecture, containerization, and event-driven application development. The market is being shaped by the growing demand for real-time data processing, simplified DevOps processes, and enhanced productivity. As cloud-native development becomes more prevalent across industries such as finance, healthcare, e-commerce, and media, serverless computing is evolving from a developer convenience into a strategic advantage. By 2032, the market is forecast to reach unprecedented levels of growth, with organizations shifting toward Function-as-a-Service (FaaS) and Backend-as-a-Service (BaaS) to streamline development and reduce operational overhead.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/5510 

Market Keyplayers:

AWS (AWS Lambda, Amazon S3)

Microsoft (Azure Functions, Azure Logic Apps)

Google Cloud (Google Cloud Functions, Firebase)

IBM (IBM Cloud Functions, IBM Watson AI)

Oracle (Oracle Functions, Oracle Cloud Infrastructure)

Alibaba Cloud (Function Compute, API Gateway)

Tencent Cloud (Cloud Functions, Serverless MySQL)

Twilio (Twilio Functions, Twilio Studio)

Cloudflare (Cloudflare Workers, Durable Objects)

MongoDB (MongoDB Realm, MongoDB Atlas)

Netlify (Netlify Functions, Netlify Edge Functions)

Fastly (Compute@Edge, Signal Sciences)

Akamai (Akamai EdgeWorkers, Akamai Edge Functions)

DigitalOcean (App Platform, Functions)

Datadog (Serverless Monitoring, Real User Monitoring)

Vercel (Serverless Functions, Edge Middleware)

Spot by NetApp (Ocean for Serverless, Elastigroup)

Elastic (Elastic Cloud, Elastic Observability)

Backendless (Backendless Cloud, Cloud Code)

Faundb (Serverless Database, Faundb Functions)

Scaleway (Serverless Functions, Object Storage)

8Base (GraphQL API, Serverless Back-End)

Supabase (Edge Functions, Supabase Realtime)

Appwrite (Cloud Functions, Appwrite Database)

Canonical (Juju, MicroK8s)

Market Trends

Several emerging trends are driving the momentum in the serverless computing space, reflecting the industry's pivot toward agility and innovation:

Increased Adoption of Multi-Cloud and Hybrid Architectures: Organizations are moving beyond single-vendor lock-in, leveraging serverless computing across multiple cloud environments to increase redundancy, flexibility, and performance.

Edge Computing Integration: The fusion of serverless and edge computing is enabling faster, localized data processing—particularly beneficial for IoT, AI/ML, and latency-sensitive applications.

Advancements in Developer Tooling: The rise of open-source frameworks, CI/CD integration, and observability tools is enhancing the developer experience and reducing the complexity of managing serverless applications.

Serverless Databases and Storage: Innovations in serverless data storage and processing, including event-driven data lakes and streaming databases, are expanding use cases for serverless platforms.

Security and Compliance Enhancements: With growing concerns over data privacy, serverless providers are focusing on end-to-end encryption, policy enforcement, and secure API gateways.

Enquiry of This Report: https://www.snsinsider.com/enquiry/5510 

Market Segmentation:

By Enterprise Size

Large Enterprise

SME

By Service Model

Function-as-a-Service (FaaS)

Backend-as-a-Service (BaaS)

By Deployment

Private Cloud

Public Cloud

Hybrid Cloud 

By End-user Industry

IT & Telecommunication

BFSI

Retail

Government

Industrial

Market Analysis

The primary growth drivers include the widespread shift to cloud-native technologies, the need for operational efficiency, and the rising number of digital-native enterprises. Small and medium-sized businesses, in particular, benefit from the low infrastructure management costs and scalability of serverless platforms.

North America remains the largest regional market, driven by early adoption of cloud services and strong presence of major tech giants. However, Asia-Pacific is emerging as a high-growth region, fueled by growing IT investments, increasing cloud literacy, and the rapid expansion of e-commerce and mobile applications. Key industry verticals adopting serverless computing include banking and finance, healthcare, telecommunications, and media.

Despite its advantages, serverless architecture comes with challenges such as cold start latency, vendor lock-in, and monitoring complexities. However, advancements in runtime management, container orchestration, and vendor-agnostic frameworks are gradually addressing these limitations.

Future Prospects

The future of the serverless computing market looks exceptionally promising, with innovation at the core of its trajectory. By 2032, the market is expected to be deeply integrated with AI-driven automation, allowing systems to dynamically optimize workloads, security, and performance in real time. Enterprises will increasingly adopt serverless as the default architecture for cloud application development, leveraging it not just for backend APIs but for data science workflows, video processing, and AI/ML pipelines.

As open standards mature and cross-platform compatibility improves, developers will enjoy greater freedom to move workloads across different environments with minimal friction. Tools for observability, governance, and cost optimization will become more sophisticated, making serverless computing viable even for mission-critical workloads in regulated industries.

Moreover, the convergence of serverless computing with emerging technologies—such as 5G, blockchain, and augmented reality—will open new frontiers for real-time, decentralized, and interactive applications. As businesses continue to modernize their IT infrastructure and seek leaner, more responsive architectures, serverless computing will play a foundational role in shaping the digital ecosystem of the next decade.

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Conclusion

Serverless computing is no longer just a developer-centric innovation—it's a transformative force reshaping the global cloud computing landscape. Its promise of simplified operations, cost efficiency, and scalability is encouraging enterprises of all sizes to rethink their application development strategies. As demand for real-time, responsive, and scalable solutions grows across industries, serverless computing is poised to become a cornerstone of enterprise digital transformation. With continued innovation and ecosystem support, the market is set to achieve remarkable growth and redefine how applications are built and delivered in the cloud-first era.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

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[justtryblockchain]

Types of Smart Contracts in Blockchain: Explained with Use Cases & Benefits

Introduction

The digital age is witnessing a silent revolution fueled by blockchain technology, and at its core lies one of its most impactful innovations—smart contracts. These are self-executing codes programmed to carry out instructions once specific conditions are met. What makes them remarkable is their autonomy and precision, which eliminate the need for intermediaries, reduce transaction costs, and bolster trust in decentralized environments.

From finance to healthcare and supply chain to gaming, smart contracts are driving innovation and disruption. But they are not one-size-fits-all. As blockchain platforms evolve, so do the types and functionalities of these contracts. Understanding their classifications helps in navigating their real-world applicability and potential.

1. Deterministic Smart Contracts

Deterministic smart contracts are foundational to the blockchain space. They operate under strict logic—given a set of inputs, they always produce the same outputs. This predictability ensures transparency and consistency, which are crucial in decentralized ecosystems.

Use Cases:

Token vesting schedules for startup teams and investors.

Escrow services for freelance marketplaces or peer-to-peer transactions.

Automated payments following conditions such as completed services or verified deliveries.

Benefits:

Zero ambiguity in execution.

High reliability due to rule-based design.

No need for third-party arbitration.

These contracts are the bedrock of most smart contract blockchain applications, ensuring reliability and integrity in digital agreements.

2. Decentralized Autonomous Organizations (DAOs)

DAOs are smart contracts with governance capabilities built in. They function as leaderless, self-operating entities where decisions are made collectively by stakeholders through proposals and voting mechanisms.

Use Cases:

Investment funds governed by community decisions.

Decentralized protocol governance.

Crowdfunding and treasury management for open-source projects.

Benefits:

Eliminates centralized control.

Voting transparency and auditability.

Operational efficiency through automated rule enforcement.

DAOs provide a glimpse into what future organizations might look like—run by code, governed by consensus.

3. Multi-Signature Smart Contracts

These contracts enhance the security and integrity of sensitive transactions by requiring multiple private key holders to authorize an action. No single participant can execute the contract alone.

Use Cases:

Joint cryptocurrency wallets for companies or partnerships.

Secure vaults for storing digital assets.

Inheritance protocols for crypto estates.

Benefits:

Prevents unauthorized transactions.

Promotes shared accountability.

Reduces fraud in fund management.

Multi-sig contracts are becoming indispensable in enterprise-grade blockchain solutions where trust is distributed among stakeholders.

4. Oracle-Based Smart Contracts

Blockchains are inherently isolated from external data. Oracle-based smart contracts solve this limitation by integrating off-chain data through oracles—middleware that fetches and verifies external information.

Use Cases:

Insurance payouts based on weather conditions.

Real-time price feeds for decentralized finance (DeFi).

Automated logistics tracking and confirmation.

Benefits:

Brings real-world conditions into blockchain logic.

Enables dynamic, event-driven applications.

Broadens the scope of smart contract use beyond digital-only environments.

However, oracles can become points of vulnerability. To counter this, decentralized oracle networks are used to validate and secure the data flow, preserving contract integrity.

5. NFT Smart Contracts

Non-fungible token (NFT) smart contracts manage digital ownership, uniqueness, and provenance. These contracts certify the originality of assets and define how they can be transferred or modified.

Use Cases:

Digital art sales and secondary royalties.

Ownership of virtual land or gaming assets.

Intellectual property licensing and authentication.

Benefits:

Immutable proof of ownership.

Enables direct creator compensation.

Reduces counterfeiting and unauthorized duplication.

By embedding rules of usage and resale into NFTs, smart contracts enable a more equitable and transparent digital economy.

6. Web3 Smart Contract Applications

Smart contracts are the backbone of Web3—the decentralized internet. These contracts allowed dApps (decentralized applications) to function autonomously, without reliance on centralized servers or gatekeepers.

Use Cases:

Decentralized exchanges, lending platforms, and stablecoins.

Identity verification and credential management.

Token-based access to platforms and services.

Benefits:

Empowerment of users with data sovereignty.

Resilience through decentralization.

Open composability—developers can build new apps by combining existing smart contracts.

As smart contract development evolves, Web3 applications promise to reconfigure digital interaction in ways that prioritize privacy, transparency, and autonomy.

Conclusion

The types of smart contracts explored—deterministic, DAO, multi-signature, oracle-based, NFT, and Web3—highlight the broad utility and transformative power of these digital agreements. They are reshaping industries by eliminating friction, embedding trust, and automating compliance. As blockchain technology matures, the continued refinement and adoption of these contract types will play a pivotal role in the decentralized future.

Which smart contract type will define the next wave of innovation in your industry?

[fromdevcom]

Java Database Connectivity API contains commonly asked Java interview questions. A good understanding of JDBC API is required to understand and leverage many powerful features of Java technology. Here are few important practical questions and answers which can be asked in a Core Java JDBC interview. Most of the java developers are required to use JDBC API in some type of application. Though its really common, not many people understand the real depth of this powerful java API. Dozens of relational databases are seamlessly connected using java due to the simplicity of this API. To name a few Oracle, MySQL, Postgres and MS SQL are some popular ones. This article is going to cover a lot of general questions and some of the really in-depth ones to. Java Interview Preparation Tips Part 0: Things You Must Know For a Java Interview Part 1: Core Java Interview Questions Part 2: JDBC Interview Questions Part 3: Collections Framework Interview Questions Part 4: Threading Interview Questions Part 5: Serialization Interview Questions Part 6: Classpath Related Questions Part 7: Java Architect Scalability Questions What are available drivers in JDBC? JDBC technology drivers fit into one of four categories: A JDBC-ODBC bridge provides JDBC API access via one or more ODBC drivers. Note that some ODBC native code and in many cases native database client code must be loaded on each client machine that uses this type of driver. Hence, this kind of driver is generally most appropriate when automatic installation and downloading of a Java technology application is not important. A native-API partly Java technology-enabled driver converts JDBC calls into calls on the client API for Oracle, Sybase, Informix, DB2, or other DBMS. Note that, like the bridge driver, this style of driver requires that some binary code be loaded on each client machine. A net-protocol fully Java technology-enabled driver translates JDBC API calls into a DBMS-independent net protocol which is then translated to a DBMS protocol by a server. This net server middleware is able to connect all of its Java technology-based clients to many different databases. The specific protocol used depends on the vendor. In general, this is the most flexible JDBC API alternative. It is likely that all vendors of this solution will provide products suitable for Intranet use. In order for these products to also support Internet access they must handle the additional requirements for security, access through firewalls, etc., that the Web imposes. Several vendors are adding JDBC technology-based drivers to their existing database middleware products. A native-protocol fully Java technology-enabled driver converts JDBC technology calls into the network protocol used by DBMSs directly. This allows a direct call from the client machine to the DBMS server and is a practical solution for Intranet access. Since many of these protocols are proprietary the database vendors themselves will be the primary source for this style of driver. Several database vendors have these in progress. What are the types of statements in JDBC? the JDBC API has 3 Interfaces, (1. Statement, 2. PreparedStatement, 3. CallableStatement ). The key features of these are as follows: Statement This interface is used for executing a static SQL statement and returning the results it produces. The object of Statement class can be created using Connection.createStatement() method. PreparedStatement A SQL statement is pre-compiled and stored in a PreparedStatement object. This object can then be used to efficiently execute this statement multiple times. The object of PreparedStatement class can be created using Connection.prepareStatement() method. This extends Statement interface. CallableStatement This interface is used to execute SQL stored procedures. This extends PreparedStatement interface. The object of CallableStatement class can be created using Connection.prepareCall() method.

What is a stored procedure? How to call stored procedure using JDBC API? Stored procedure is a group of SQL statements that forms a logical unit and performs a particular task. Stored Procedures are used to encapsulate a set of operations or queries to execute on database. Stored procedures can be compiled and executed with different parameters and results and may have any combination of input/output parameters. Stored procedures can be called using CallableStatement class in JDBC API. Below code snippet shows how this can be achieved. CallableStatement cs = con.prepareCall("call MY_STORED_PROC_NAME"); ResultSet rs = cs.executeQuery(); What is Connection pooling? What are the advantages of using a connection pool? Connection Pooling is a technique used for sharing the server resources among requested clients. It was pioneered by database vendors to allow multiple clients to share a cached set of connection objects that provides access to a database. Getting connection and disconnecting are costly operation, which affects the application performance, so we should avoid creating multiple connection during multiple database interactions. A pool contains set of Database connections which are already connected, and any client who wants to use it can take it from pool and when done with using it can be returned back to the pool. Apart from performance this also saves you resources as there may be limited database connections available for your application. How to do database connection using JDBC thin driver ? This is one of the most commonly asked questions from JDBC fundamentals, and knowing all the steps of JDBC connection is important. import java.sql.*; class JDBCTest public static void main (String args []) throws Exception //Load driver class Class.forName ("oracle.jdbc.driver.OracleDriver"); //Create connection Connection conn = DriverManager.getConnection ("jdbc:oracle:thin:@hostname:1526:testdb", "scott", "tiger"); // @machineName:port:SID, userid, password Statement stmt = conn.createStatement(); ResultSet rs = stmt.executeQuery("select 'Hi' from dual"); while (rs.next()) System.out.println (rs.getString(1)); // Print col 1 => Hi stmt.close(); What does Class.forName() method do? Method forName() is a static method of java.lang.Class. This can be used to dynamically load a class at run-time. Class.forName() loads the class if its not already loaded. It also executes the static block of loaded class. Then this method returns an instance of the loaded class. So a call to Class.forName('MyClass') is going to do following - Load the class MyClass. - Execute any static block code of MyClass. - Return an instance of MyClass. JDBC Driver loading using Class.forName is a good example of best use of this method. The driver loading is done like this Class.forName("org.mysql.Driver"); All JDBC Drivers have a static block that registers itself with DriverManager and DriverManager has static initializer method registerDriver() which can be called in a static blocks of Driver class. A MySQL JDBC Driver has a static initializer which looks like this: static try java.sql.DriverManager.registerDriver(new Driver()); catch (SQLException E) throw new RuntimeException("Can't register driver!"); Class.forName() loads driver class and executes the static block and the Driver registers itself with the DriverManager. Which one will you use Statement or PreparedStatement? Or Which one to use when (Statement/PreparedStatement)? Compare PreparedStatement vs Statement. By Java API definitions: Statement is a object used for executing a static SQL statement and returning the results it produces. PreparedStatement is a SQL statement which is precompiled and stored in a PreparedStatement object. This object can then be used to efficiently execute this statement multiple times. There are few advantages of using PreparedStatements over Statements

Since its pre-compiled, Executing the same query multiple times in loop, binding different parameter values each time is faster. (What does pre-compiled statement means? The prepared statement(pre-compiled) concept is not specific to Java, it is a database concept. Statement precompiling means: when you execute a SQL query, database server will prepare a execution plan before executing the actual query, this execution plan will be cached at database server for further execution.) In PreparedStatement the setDate()/setString() methods can be used to escape dates and strings properly, in a database-independent way. SQL injection attacks on a system are virtually impossible when using PreparedStatements. What does setAutoCommit(false) do? A JDBC connection is created in auto-commit mode by default. This means that each individual SQL statement is treated as a transaction and will be automatically committed as soon as it is executed. If you require two or more statements to be grouped into a transaction then you need to disable auto-commit mode using below command con.setAutoCommit(false); Once auto-commit mode is disabled, no SQL statements will be committed until you explicitly call the commit method. A Simple transaction with use of autocommit flag is demonstrated below. con.setAutoCommit(false); PreparedStatement updateStmt = con.prepareStatement( "UPDATE EMPLOYEE SET SALARY = ? WHERE EMP_NAME LIKE ?"); updateStmt.setInt(1, 5000); updateSales.setString(2, "Jack"); updateStmt.executeUpdate(); updateStmt.setInt(1, 6000); updateSales.setString(2, "Tom"); updateStmt.executeUpdate(); con.commit(); con.setAutoCommit(true); What are database warnings and How can I handle database warnings in JDBC? Warnings are issued by database to notify user of a problem which may not be very severe. Database warnings do not stop the execution of SQL statements. In JDBC SQLWarning is an exception that provides information on database access warnings. Warnings are silently chained to the object whose method caused it to be reported. Warnings may be retrieved from Connection, Statement, and ResultSet objects. Handling SQLWarning from connection object //Retrieving warning from connection object SQLWarning warning = conn.getWarnings(); //Retrieving next warning from warning object itself SQLWarning nextWarning = warning.getNextWarning(); //Clear all warnings reported for this Connection object. conn.clearWarnings(); Handling SQLWarning from Statement object //Retrieving warning from statement object stmt.getWarnings(); //Retrieving next warning from warning object itself SQLWarning nextWarning = warning.getNextWarning(); //Clear all warnings reported for this Statement object. stmt.clearWarnings(); Handling SQLWarning from ResultSet object //Retrieving warning from resultset object rs.getWarnings(); //Retrieving next warning from warning object itself SQLWarning nextWarning = warning.getNextWarning(); //Clear all warnings reported for this resultset object. rs.clearWarnings(); The call to getWarnings() method in any of above way retrieves the first warning reported by calls on this object. If there is more than one warning, subsequent warnings will be chained to the first one and can be retrieved by calling the method SQLWarning.getNextWarning on the warning that was retrieved previously. A call to clearWarnings() method clears all warnings reported for this object. After a call to this method, the method getWarnings returns null until a new warning is reported for this object. Trying to call getWarning() on a connection after it has been closed will cause an SQLException to be thrown. Similarly, trying to retrieve a warning on a statement after it has been closed or on a result set after it has been closed will cause an SQLException to be thrown. Note that closing a statement also closes a result set that it might have produced. What is Metadata and why should I use it?

JDBC API has 2 Metadata interfaces DatabaseMetaData & ResultSetMetaData. The DatabaseMetaData provides Comprehensive information about the database as a whole. This interface is implemented by driver vendors to let users know the capabilities of a Database Management System (DBMS) in combination with the driver based on JDBC technology ("JDBC driver") that is used with it. Below is a sample code which demonstrates how we can use the DatabaseMetaData DatabaseMetaData md = conn.getMetaData(); System.out.println("Database Name: " + md.getDatabaseProductName()); System.out.println("Database Version: " + md.getDatabaseProductVersion()); System.out.println("Driver Name: " + md.getDriverName()); System.out.println("Driver Version: " + md.getDriverVersion()); The ResultSetMetaData is an object that can be used to get information about the types and properties of the columns in a ResultSet object. Use DatabaseMetaData to find information about your database, such as its capabilities and structure. Use ResultSetMetaData to find information about the results of an SQL query, such as size and types of columns. Below a sample code which demonstrates how we can use the ResultSetMetaData ResultSet rs = stmt.executeQuery("SELECT a, b, c FROM TABLE2"); ResultSetMetaData rsmd = rs.getMetaData(); int numberOfColumns = rsmd.getColumnCount(); boolean b = rsmd.isSearchable(1); What is RowSet? or What is the difference between RowSet and ResultSet? or Why do we need RowSet? or What are the advantages of using RowSet over ResultSet? RowSet is a interface that adds support to the JDBC API for the JavaBeans component model. A rowset, which can be used as a JavaBeans component in a visual Bean development environment, can be created and configured at design time and executed at run time. The RowSet interface provides a set of JavaBeans properties that allow a RowSet instance to be configured to connect to a JDBC data source and read some data from the data source. A group of setter methods (setInt, setBytes, setString, and so on) provide a way to pass input parameters to a rowset's command property. This command is the SQL query the rowset uses when it gets its data from a relational database, which is generally the case. Rowsets are easy to use since the RowSet interface extends the standard java.sql.ResultSet interface so it has all the methods of ResultSet. There are two clear advantages of using RowSet over ResultSet RowSet makes it possible to use the ResultSet object as a JavaBeans component. As a consequence, a result set can, for example, be a component in a Swing application. RowSet be used to make a ResultSet object scrollable and updatable. All RowSet objects are by default scrollable and updatable. If the driver and database being used do not support scrolling and/or updating of result sets, an application can populate a RowSet object implementation (e.g. JdbcRowSet) with the data of a ResultSet object and then operate on the RowSet object as if it were the ResultSet object. What is a connected RowSet? or What is the difference between connected RowSet and disconnected RowSet? or Connected vs Disconnected RowSet, which one should I use and when? Connected RowSet A RowSet object may make a connection with a data source and maintain that connection throughout its life cycle, in which case it is called a connected rowset. A rowset may also make a connection with a data source, get data from it, and then close the connection. Such a rowset is called a disconnected rowset. A disconnected rowset may make changes to its data while it is disconnected and then send the changes back to the original source of the data, but it must reestablish a connection to do so. Example of Connected RowSet: A JdbcRowSet object is a example of connected RowSet, which means it continually maintains its connection to a database using a JDBC technology-enabled driver. Disconnected RowSet A disconnected rowset may have a reader (a RowSetReader object) and a writer (a RowSetWriter object) associated with it.

The reader may be implemented in many different ways to populate a rowset with data, including getting data from a non-relational data source. The writer can also be implemented in many different ways to propagate changes made to the rowset's data back to the underlying data source. Example of Disconnected RowSet: A CachedRowSet object is a example of disconnected rowset, which means that it makes use of a connection to its data source only briefly. It connects to its data source while it is reading data to populate itself with rows and again while it is propagating changes back to its underlying data source. The rest of the time, a CachedRowSet object is disconnected, including while its data is being modified. Being disconnected makes a RowSet object much leaner and therefore much easier to pass to another component. For example, a disconnected RowSet object can be serialized and passed over the wire to a thin client such as a personal digital assistant (PDA). What is the benefit of having JdbcRowSet implementation? Why do we need a JdbcRowSet like wrapper around ResultSet? The JdbcRowSet implementation is a wrapper around a ResultSet object that has following advantages over ResultSet This implementation makes it possible to use the ResultSet object as a JavaBeans component. A JdbcRowSet can be used as a JavaBeans component in a visual Bean development environment, can be created and configured at design time and executed at run time. It can be used to make a ResultSet object scrollable and updatable. All RowSet objects are by default scrollable and updatable. If the driver and database being used do not support scrolling and/or updating of result sets, an application can populate a JdbcRowSet object with the data of a ResultSet object and then operate on the JdbcRowSet object as if it were the ResultSet object. Can you think of a questions which is not part of this post? Please don't forget to share it with me in comments section & I will try to include it in the list.

[cybersecurityict]

IoT Middleware Market Size, Share, Analysis, Forecast, and Growth Trends to 2032: Connecting Billions of Devices, Securely

The IoT Middleware Market was valued at USD 15.4 billion in 2023 and is expected to reach USD 61.06 billion by 2032, growing at a CAGR of 16.58% from 2024-2032.

The IoT Middleware Market is undergoing a transformative shift as industries rapidly adopt connected technologies to optimize operations, enhance productivity, and streamline decision-making. Acting as a crucial bridge between IoT devices and applications, IoT middleware enables seamless communication, data management, and integration across heterogeneous environments. With the rise of smart cities, industrial automation, and connected healthcare systems, demand for robust middleware solutions has surged, making this sector a dynamic space for innovation and investment.

IoT Middleware Market size is being driven by the need for real-time data processing, interoperable systems, and scalable infrastructure. Enterprises are investing heavily in middleware platforms that offer agility, security, and cloud-native support. This growing reliance on IoT ecosystems, coupled with the increasing complexity of device networks, places middleware at the center of digital transformation strategies. As more organizations pursue end-to-end IoT solutions, middleware is no longer optional—it’s essential.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/6005 

Market Keyplayers:

Microsoft (Azure IoT Hub, Azure Digital Twins)

IBM (IBM Watson IoT, IBM Maximo)

PTC (ThingWorx, Vuforia)

Cisco (IoT Control Center, Cisco Kinetic)

AWS (AWS IoT Core, AWS IoT Greengrass)

SAP (SAP Leonardo IoT, SAP Cloud Platform IoT)

Google (Google Cloud IoT, Google Cloud IoT Core)  

Hitachi (Lumada, Hitachi Vantara)

Oracle (Oracle IoT Cloud, Oracle Integration Cloud)

HPE (HPE Edgeline, HPE GreenLake)

Bosch (Bosch IoT Suite, Bosch IoT Cloud)

Siemens (MindSphere, Siemens Industrial IoT)

GE (Predix, GE Digital)

Schneider Electric (EcoStruxure, Schneider Electric IoT)

Software AG (Cumulocity IoT, webMethods)

Aeris Communication (Aeris IoT Platform, Aeris Mobility Suite)

Salesforce (Salesforce IoT Cloud, Salesforce Einstein)

Atos (Atos Codex IoT, Atos Digital Transformation)

ClearBlade (ClearBlade IoT Platform, ClearBlade Edge)

Davra Networks (Davra IoT Platform, Davra Edge)

Axiros (Axiros AXCESS, Axiros AXPERIENCE)

Eurotech (Eurotech Everyware IoT, Eurotech IoT Edge)

Litmus Automation (Litmus Edge, Litmus Edge Connect)

Ayla Networks (Ayla IoT Platform, Ayla IoT Cloud)

SumatoSoft (SumatoSoft IoT Solutions, SumatoSoft Cloud Integration)

Market Analysis The IoT Middleware market is witnessing strong momentum due to technological advancements and increasing connectivity. Key players are focusing on enhancing features like device discovery, data filtering, analytics support, and security protocols to differentiate their offerings. The rise in smart devices and real-time data requirements across sectors such as manufacturing, healthcare, energy, and transportation is accelerating adoption. Cloud integration, edge computing, and AI capabilities are becoming pivotal in middleware development, opening new opportunities for vendors.

Market Trends

Growing demand for interoperable and platform-independent middleware solutions

Shift towards cloud-native middleware platforms to support remote deployments

Integration of AI and machine learning for advanced data insights

Increasing use of edge computing to reduce latency and bandwidth usage

Rise in security-focused middleware to counter IoT vulnerabilities

Industry-specific middleware gaining traction (e.g., healthcare, logistics, automotive)

Expansion of open-source middleware tools for greater flexibility

Market Scope

Middleware as a key enabler of digital transformation

High adoption rate across manufacturing, healthcare, energy, and retail

Strategic partnerships among tech firms and industrial players

Growing need for standardized frameworks and compliance

Emergence of middleware-as-a-service (MWaaS) offerings

IoT middleware is no longer just a background enabler—it’s the heartbeat of intelligent, connected environments. As enterprises seek greater agility and real-time decision-making capabilities, middleware’s role has expanded into a strategic asset shaping the digital future.

Market Forecast The IoT Middleware market is expected to exhibit strong and sustained growth in the coming years, driven by innovation, enterprise digitalization, and global smart infrastructure initiatives. As organizations invest in scalable and intelligent IoT solutions, middleware will remain the cornerstone of system interoperability and data flow. Future development will focus on low-code platforms, AI-augmented services, and hybrid deployments, reinforcing middleware’s position as an indispensable part of the IoT ecosystem.

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Conclusion The IoT Middleware Market is not just evolving—it’s accelerating at the core of global digital transformation. Businesses that leverage middleware to unify their IoT architecture will unlock new levels of operational efficiency and competitive advantage. As innovation continues to reshape the connected landscape, embracing next-generation middleware solutions is the key to staying ahead in the intelligent enterprise era.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

[licensingoracle]

Understand the Oracle Java License Change and Maximize Savings with Oracle BYOL

In recent years, Oracle has made significant changes to how it licenses Java, a move that has caught many organizations off guard. The Oracle Java license change represents a strategic shift that affects how businesses access and use Java in their IT environments. At the same time, Oracle offers the Bring Your Own License (BYOL) model to help companies manage licensing costs while maintaining compliance. Understanding both the licensing changes and the BYOL model is crucial for IT leaders, developers, and procurement teams aiming to avoid unexpected costs and maintain operational efficiency.

Oracle Java License Change: What You Need to Know

Historically, Oracle provided Java under a free-to-use license model, primarily for personal and development purposes. However, starting in 2019, Oracle announced a new subscription-based model for commercial users of Oracle Java SE. Under this model, users are required to pay for updates, support, and the continued use of Java in production environments.

Then in 2023, Oracle made another update by introducing a new Java SE Universal Subscription, a per-employee license that bundles support for multiple versions and deployment types. This new subscription replaced the legacy per-processor or per-user pricing, and it now applies to all employees—not just developers or IT users. The goal was to simplify Java licensing, but for many organizations, it significantly increased costs and licensing complexity.

This Oracle Java license change has sparked widespread concern, especially among companies that were previously unaware of their licensing obligations or believed Java remained free for commercial use. Businesses now face the dual challenge of identifying where Java is deployed and determining whether those deployments fall under Oracle’s commercial licensing requirements.

The Risks of Non-Compliance

The Oracle Java license change means organizations must carefully audit their environments. Java is often deeply embedded in custom applications, middleware, and legacy systems. Without proper tracking, many businesses may be using Oracle Java without realizing they owe subscription fees. Oracle has been known to audit companies and impose hefty penalties for non-compliance.

Being proactive is essential. Organizations must inventory all instances of Java, distinguish between Oracle Java and open-source alternatives like OpenJDK, and determine whether they fall within the scope of the new licensing model. This audit process should be thorough, as even unintentional use of Oracle Java can lead to compliance issues.

Oracle BYOL: A Cost-Effective Alternative

As part of Oracle’s broader licensing strategy, the company offers a Bring Your Own License (BYOL) model. Oracle BYOL allows organizations to use their existing Oracle licenses when deploying in supported cloud environments, including Oracle Cloud Infrastructure (OCI) and certain third-party cloud providers.

For companies already invested in Oracle technologies, Oracle BYOL presents an opportunity to reduce costs and maximize ROI. It allows you to repurpose your on-premise licenses for cloud-based Java deployments, eliminating the need for redundant subscriptions. This flexibility can significantly reduce licensing expenditures while providing access to enterprise-grade support and features.

Notably, Oracle BYOL applies not just to Java but also to Oracle Database, WebLogic, and other middleware products. In the context of the Oracle Java license change, BYOL becomes an essential strategy for cloud migrations and hybrid IT models.

How to Use Oracle BYOL with Java

To take advantage of Oracle BYOL for Java, organizations must first ensure they have eligible licenses. These licenses must be covered under active support and compliance terms. Once verified, you can apply them to eligible cloud environments, reducing or eliminating the cost of additional Java subscriptions in those environments.

Here are key steps to implement Oracle BYOL effectively:

Conduct a License Review: Work with Oracle or a trusted licensing partner to review your existing entitlements.

Identify BYOL Opportunities: Determine where Oracle Java is deployed and whether those environments support BYOL.

Update Policies and Procedures: Ensure your procurement and IT teams understand the BYOL process and update documentation accordingly.

Monitor Usage: Implement tools to track license usage and ensure ongoing compliance.

When done correctly, Oracle BYOL can serve as a powerful tool to mitigate the financial impact of the Oracle Java license change.

OpenJDK: A Viable Alternative

In light of the license change, many organizations are also exploring alternatives to Oracle Java, such as OpenJDK. OpenJDK is a free and open-source implementation of the Java Platform, and it serves as the base for Oracle Java. Several vendors, including Amazon (Corretto), Red Hat, and Azul, provide enterprise-grade builds of OpenJDK, offering free updates and support options.

Switching to OpenJDK can help avoid licensing fees altogether. However, organizations should evaluate compatibility, performance, and support needs before making the transition. In some cases, sticking with Oracle Java and using Oracle BYOL may offer better support and stability, particularly for mission-critical systems.

Final Thoughts

The Oracle Java license change has reshaped how businesses manage their Java deployments. With Oracle now enforcing stricter licensing terms and pricing models, organizations must take a proactive approach to compliance. At the same time, the Oracle BYOL model offers a valuable path for reducing costs, especially for businesses moving to the cloud.

By understanding these changes and leveraging available licensing strategies, organizations can maintain operational continuity while controlling IT expenses. Whether you choose to remain with Oracle Java or migrate to OpenJDK, having a clear strategy in place is the best way to navigate the evolving Java ecosystem

[dopeluminaryninja]

Get Oracle Fusion Technical & OIC Expertise – Enroll in Online Training Now!

Are you looking to enhance your skills in Oracle Fusion Technical and Oracle Integration Cloud (OIC)? Whether you're an IT professional, a fresher, or someone seeking a career in Oracle Cloud ERP, our Oracle Fusion Technical + OIC Online Training is designed to help you become a skilled professional with hands-on experience.

Why Choose Our Oracle Fusion Technical & OIC Training?

In today's competitive job market, having Oracle Fusion Technical & OIC expertise can significantly boost your career opportunities. Our training provides:

✅ Expert-Led Sessions – Learn from industry experts with years of real-world experience.

✅ Hands-on Labs – Work on live projects and practice in real-time environments.

✅ Comprehensive Course Content – Cover all key areas, including BI Reports, FBDI, OTBI, REST APIs, Web Services, and OIC Integrations.

✅ Flexible Online Training – Attend live instructor-led classes with lifetime access to recordings.

✅ Job-Oriented Curriculum – Includes interview questions, real-time scenarios, and project-based learning.

✅ Certification Assistance – Get guidance to clear Oracle certification exams.

✅ Placement Support – Resume building, interview preparation, and job referrals.

What Will You Learn in Oracle Fusion Technical & OIC Online Training?

Our course covers everything from fundamentals to advanced concepts to ensure you gain practical expertise:

Oracle Fusion Technical Training Modules:

🔹 BI Publisher Reports – Create and customize reports for real-time business analytics.

🔹 OTBI (Oracle Transactional Business Intelligence) – Learn reporting techniques for decision-making.

🔹 FBDI (File-Based Data Import) – Master data migration and batch processing.

🔹 REST & SOAP APIs – Understand integrating external applications with Fusion ERP.

🔹 ADF (Application Development Framework) – Work with UI customizations and extensions.

🔹 Security & Roles in Oracle Fusion – Learn user roles, security setups, and access controls.

Oracle Integration Cloud (OIC) Training Modules:

🔹 OIC Architecture & Components – Understand integration best practices.

🔹 Application Adapters & Connectivity Agents – Connect on-premise and cloud applications seamlessly.

🔹 Process Automation in OIC – Design workflows and automate business processes.

🔹 ICS (Integration Cloud Service) & PCS (Process Cloud Service) – Deep dive into middleware integration.

🔹 Real-Time Projects – Work on end-to-end OIC implementations.

Who Should Join This Training?

✔ IT Professionals & Developers looking to upskill in Oracle Cloud ERP.

✔ Freshers & Graduates aspiring for an Oracle Fusion Technical & OIC career.

✔ Technical Consultants transitioning into Oracle Fusion and Middleware technologies.

✔ Oracle Professionals aiming to gain expertise in Integration & Reporting.

✔ ERP Implementers & Project Managers handling Oracle Cloud applications.

Career Opportunities After This Training

By mastering Oracle Fusion Technical & OIC, you can explore various job roles:

🎯 Oracle Fusion Technical Consultant

🎯 Oracle Cloud Integration Specialist

🎯 Oracle OIC Developer

🎯 ERP Technical Consultant

🎯 Oracle Middleware Expert

With the demand for Oracle Cloud professionals proliferating, this training will give you a competitive edge in the job market.

Why Oracle Fusion Technical + OIC?

With Oracle Cloud ERP becoming the industry standard, Fusion Technical & OIC skills are essential for:

✔ Seamless Data Integration – Connect multiple applications effortlessly.

✔ Automation of Business Processes – Reduce manual efforts and improve efficiency.

✔ Advanced Reporting & Analytics – Generate meaningful insights for business decisions.

✔ Enhanced Career Growth – Increase job opportunities in Oracle Cloud technology.

How to Enroll in the Training?

🚀 Limited Seats Available! Secure your spot in our next batch and start your journey to becoming an Oracle Fusion Technical & OIC Expert.

📞 Contact us today for a FREE Demo Session!

✅ Enroll Now & Get Certified in Oracle Fusion Technical & OIC!

Conclusion

Oracle Fusion Technical & OIC skills are in high demand, making them a valuable asset for IT professionals, developers, and freshers looking to build a successful career in Oracle Cloud ERP. With our comprehensive online training, you’ll gain hands-on experience, real-time project exposure, and expert guidance to master Fusion Technical and OIC integrations.

[erpsoftwaredubaiuae]

CRM Software Integration with ERP Systems in the UAE: A Complete Guide

In the rapidly evolving business environment of the UAE, efficiency, accuracy, and customer satisfaction are critical for success. To achieve these goals, businesses are increasingly turning to integrated technology solutions. One of the most impactful combinations is CRM (Customer Relationship Management) software integrated with ERP (Enterprise Resource Planning) systems.

This guide explores the importance, benefits, challenges, and best practices for integrating CRM and ERP software in the UAE.

Why Integration Matters in the UAE Market

Businesses in the UAE operate in a highly competitive and fast-paced economy, especially in sectors like retail, real estate, trading, and services. Separate CRM and ERP systems may result in:

Data silos

Communication gaps

Duplicate entries

Delayed decision-making

CRM software focuses on managing customer relationships, sales pipelines, and marketing campaigns, while ERP systems handle finance, inventory, HR, and operations. Integrating the two ensures real-time collaboration between front-end customer service and back-end business processes—essential for seamless operations in the UAE’s dynamic market.

Key Benefits of CRM and ERP Integration

Unified Customer Data Integration gives businesses a 360-degree view of customers—purchase history, support tickets, invoices, delivery status—all in one place.

Improved Sales and Order Management Sales teams can access real-time inventory and pricing data directly from the ERP system while working in the CRM interface.

Streamlined Operations Integration reduces manual data entry and synchronization errors, improving productivity across departments.

Better Decision-Making With accurate, consolidated data, managers in the UAE can make quicker, data-driven decisions.

Enhanced Customer Experience Faster response times, personalized service, and better order tracking result in improved customer satisfaction.

Popular CRM and ERP Solutions in the UAE

Many UAE businesses rely on leading software platforms for CRM and ERP needs, such as:

CRM: Zoho CRM, Salesforce, Microsoft Dynamics 365, Freshsales

ERP: SAP Business One, Oracle NetSuite, TallyPrime, Focus ERP, Odoo

These solutions often provide native or API-based integration capabilities, making it easier for UAE companies to connect their systems.

Challenges in CRM-ERP Integration

While the benefits are clear, integration can be complex:

Data inconsistency: Aligning data formats between CRM and ERP requires careful mapping.

Customization requirements: UAE companies often need tailored solutions due to specific VAT rules or bilingual (Arabic-English) interfaces.

Cost and resources: Integration may require investment in middleware, APIs, or third-party services.

Change management: Staff training and adaptation are essential for successful implementation.

Best Practices for Successful Integration

Define Clear Objectives Outline what you want to achieve—faster sales cycles, improved reporting, or better inventory management.

Choose Compatible Platforms Opt for CRM and ERP systems that support seamless integration or come from the same vendor (e.g., Microsoft Dynamics 365).

Use Integration Middleware Tools like Zapier, MuleSoft, or custom APIs can bridge the gap between CRM and ERP platforms.

Ensure Data Cleanliness Eliminate duplicates and standardize data before integration to prevent downstream issues.

Test Thoroughly Run end-to-end testing across departments before going live.

Work with Local Experts Partnering with UAE-based software consultants ensures compliance with regional laws and cultural considerations.

Conclusion

For UAE businesses aiming to enhance operational efficiency and deliver superior customer experiences, integrating CRM Software UAE with ERP systems is no longer optional—it’s essential. By bridging the gap between customer interactions and back-end processes, organizations can build smarter, more responsive, and scalable operations.

Whether you are a retail chain in Dubai, a logistics company in Abu Dhabi, or a service provider in Sharjah, investing in CRM-ERP integration can set you apart in today’s competitive marketplace.

[sindhu14]

PHP vs Python: Which is Better?-Python Online Training

PHP vs Python: Which is Better?

Both PHP and Python are widely used programming languages, but they serve different purposes. The choice depends on factors like project requirements, scalability, ease of use, and community support.

1️⃣ Overview

FeaturePHPPythonPrimary UseWeb DevelopmentGeneral Purpose (Web, AI, ML, Data Science, Automation)SyntaxComplex, HTML-embeddedSimple, ReadablePerformanceFaster for web-specific tasksEfficient for data-heavy applicationsScalabilitySuitable for large web appsHighly scalable for AI, ML, and enterprise appsSecurityNeeds additional configurationsMore secure by defaultLearning CurveModerateEasier to learnCommunity SupportLarge (focused on web)Large (diverse fields)

2️⃣ Why Choose PHP?

✔ Best for Web Development – Designed for server-side web apps, integrates well with HTML. ✔ WordPress & CMS Development – Powers over 75% of websites using WordPress, Joomla, etc. ✔ Database Compatibility – Works seamlessly with MySQL, PostgreSQL, Oracle. ✔ Fast Execution – Optimized for handling web requests efficiently. ✔ Cost-Effective Hosting – Most web hosting providers support PHP by default.

🔴 Drawbacks of PHP: ❌ Not Ideal for AI & Data Science – Limited support for AI, ML, and automation tasks. ❌ Messy Syntax – Less readable and structured compared to Python. ❌ Security Issues – More vulnerable to cyber attacks if not configured properly.

3️⃣ Why Choose Python?

✔ Easy to Learn & Read – Clean, simple syntax makes it beginner-friendly. ✔ Versatile – Used in Web Development, AI, Machine Learning, Automation, Data Science. ✔ Framework Support – Django, Flask (for web apps), TensorFlow, PyTorch (for AI/ML). ✔ Better Security – Stronger built-in security features compared to PHP. ✔ Scalability – Used by Google, Instagram, Netflix, Spotify for scalable applications.

🔴 Drawbacks of Python: ❌ Slower in Web Apps – Compared to PHP, Python is slightly slower in handling web requests. ❌ Less Hosting Support – PHP is more widely supported in shared hosting environments.

4️⃣ Which One Should You Choose?

✅ Choose PHP if you are building a dynamic website, CMS, or eCommerce platform.

✅ Choose Python if you need a language for AI, ML, automation, data science, or scalable web apps.

💡 Final Verdict: Python is more versatile and future-proof, while PHP is excellent for traditional web development. If you're starting fresh, Python is the better long-term choice. 🚀

Scope @ NareshIT:

At NareshIT’s Python application Development program you will be able to get the extensive hands-on training in front-end, middleware, and back-end technology.

It skilled you along with phase-end and capstone projects based on real business scenarios.

Here you learn the concepts from leading industry experts with content structured to ensure industrial relevance.

An end-to-end application with exciting features

For more details visit: https://nareshit.com/courses/python-developer-certification-online-training