informatica-blogs

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Modernizing Application Integration With Informatica

Digital transformation initiatives may stall or fail if enterprises operate their business-critical applications and processes in silos. Enterprises need to integrate all their applications to get a unified view across business operations, processes, and systems to meet the demands of the ever-changing market and stay competitive. Modernization is intended to help enterprises to drive agility to create a competitive advantage by assembling and connecting applications with unprecedented speed. 

Informatica Delivers Key Capabilities for Application Modernization

Single Intelligent Platform for Application Integration and Business Process Automation

The Informatica® Application Modernization platform is built for multi-cloud ecosystems and on-premises environments. As a microservices-based architecture, it enables enterprise-scale integration and support for new integration patterns such as master data management, data quality, data lake, and many more. Enterprises can now connect hundreds of applications and services from cloud and on-premises environments via self-service, discovery-centric marketplaces, and business interoperability portals—all within a single platform unifying API creation and management, data set processing, event processing, and more. It supports any integration pattern, user type, or endpoint to automate business processes, expedite transactions, and enable real-time analytics. Codeless Intelligent Application, Process and Data Integration With Informatica’s modular design environment, enterprises can implement and manage intelligent application integrations, data integrations, automation of business processes, APIs, and guides without code. Now you can connect and orchestrate real-time data or services from cloud applications, such as Salesforce, Workday, and many more, with on-premises data sources like Oracle or SAP, or API-based REST (XML or JSON), and SOAP services. Integration architects to data stewards to non-technical business users can easily build, assemble, monitor, and maintain integrations and APIs.Intelligent Automation of Business and Data APIs Informatica’s Application Modernization platform enables the intelligent automation of business and data APIs to provide unprecedented productivity to enterprises. Enterprises can now integrate applications and synchronize data across multiple applications in real time with automatic mappings

Read More : https://www.partnerbo.co/modernizing-application-integration-with-informatica

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Acceleration with Data Lake and Data Warehouse

Organizations today have been more committed to data-driven as they embark on digital transformations to accelerate time to value, reduce costs, improve efficiency, and deliver trusted insights for business decision-making. To help achieve these goals, companies are modernizing their analytics initiatives by either building new cloud data warehouses and data lakes or by consolidating on-premises data warehouses in the cloud. Companies are also adopting modern cloud technologies that merge data warehouses and data lakes into a single data platform sometimes referred to as a “lakehouse.”

To get started, companies often stand up a cloud data warehouse for a departmental project to pilot the solution and evaluate their cloud options. Some organizations, as they start their journey to the cloud, opt for manual processes such as hand-coding, but this approach quickly overwhelms the IT team, becoming expensive to maintain and difficult to scale.

Informatica® helps organizations avoid these missteps and instead accelerate their cloud data warehouse and data lake initiatives with the industry’s leading independent, modern cloud data management solution—Informatica Intelligent Cloud ServicesSM (IICS). IICS is a modern, microservices-based, metadata-driven, AI-powered, and purpose-built cloud-native data management solution for cloud data warehouses and data lakes, regardless of the cloud platform or technology provider (including Amazon, Microsoft, Snowflake, Databricks, and Google).

READ MORE AT : https://www.partnerbo.co/acceleration-with-data-lake-and-data-warehouse

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Fusing Cloud Data Governance and Catalog

Informatica Cloud Data Governance and Catalog is a comprehensive solution for managing data and its metadata in a SaaS solution, providing the data catalog and data governance across all corporate data, regardless of where the data resides. It utilizes the AI capabilities of Informatica CLAIRE and is a feature-rich solution, fully integrated into the Informatica Intelligent Data Management Cloud.

With the evolution of the past years, the need for managing data has changed. Relational SQL databases or, even earlier, hierarchical databases, have shifted away from the center of attention. Cloud databases of many kinds are common today, with large CSPs (Cloud Service Providers) such as AWS (Amazon Web Services) or Microsoft Azure providing not just one, but sometimes more than 10 kinds of databases. Big data approaches and analytics solutions have become the focus of attention.

The broadened and the new use cases around data also require new categories of solutions: Data Catalogs, Metadata Management, and Data Governance. These three terms are closely related, increasingly resulting in integrated solutions.

Metadata Management refers to solutions that enable organizations to manage data across a range of systems, maintaining metadata of the data. This also includes capabilities such as data lineage, i.e., analyzing and documenting the flow of data between various systems.

Data Catalogs are where this metadata is stored and managed. A data catalog is a central repository that provides a view of the enterprise data across all managed data stores. It enables the use of such data and delivers the capabilities for "data democratization".

Data Governance builds on Metadata Management and enables control of the use and flow of data.

READ MORE AT : https://www.partnerbo.co/fusing-cloud-data-governance-and-catalog

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Cloud Data Integration Elastic

Organizations need a better, faster, more reliable way to integrate data from various sources and deliver data and analytics on time to lines of business. Manual, complex, and unorganized methods of data integration can hold firms back from leveraging data in real-time and staying ahead of the competition.

The Cloud Data Integration Elastic service enables your IT organization to process data integration tasks without managing servers or needing any additional big data expertise. 

Ease of deployment

Deploying Cloud Data Integration Elastic is a five-step process: install the secure agent; create the IICS cluster and the compute engines; create the mapping services and tasks; run the tasks, and monitor the jobs and clusters.

Data integration at scale

Deploy data integration solutions using Cloud Data Integration Elastic to process large volumes of big data in the cloud. An ephemeral Kubernetes cluster provides the serverless Spark engine to process the integration mapping tasks.

Built for scalability

To help you scale efficiently, the Cloud Data Integration Elastic secure agent starts the cluster and assigns mapping jobs for processing. It dynamically scales your cluster up or down based on demand and shuts down the cluster when jobs are done to optimize resources

READ MORE AT : https://www.partnerbo.co/cloud-data-integration-elastic

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Informatica Intelligent Cloud Services Application Integration: Overview

While considering a cloud strategy, architects need to create an approach where on-premise, cloud, and data services should coexist. 

Some of the following aspects need to be considered while considering the integration strategy

Data consumption: How applications consume data whether locally and without latency, on-demand and interactively from an external data provider or service

Data propagation: How data propagates—for example, via data set synchronization, replication, store and forward or publish/subscribe, messaging, streaming or event-based propagation via service-oriented API requests

An application integration strategy needs to also consider how business and data service APIs are provided and consumed

Informatica Intelligent Cloud Services (IICS) offers the means with its integration platform as a service (iPaaS) to integrate and offer data and application services deployed on-premises and in the cloud.

Informatica Intelligent Cloud Services

Integration Cloud, a component of Informatica Intelligent Cloud Services (IICS), is offered as an iPaaS that provides near-universal access to application data regardless of its location, format, or origin and integrates applications and application processes regardless of where they are deployed. Integration Cloud provides the means to integrate and deliver:

The right data, of the highest quality, at the right time

Data to the right place, whether on-premises or in the cloud

Data to the right consumer, whether it is a business user or an application

Data in the right way, ensuring it is secure and protected

Integration Cloud lets you address your application and data integration needs using a variety of integration patterns:

API creation and consumption

Service orchestration 

Process automation and integration 

Message-based integration (publish/subscribe)

Business-to-business integration

Data synchronization and replication

Managed file transfer

Bulk and batch data integration and transformations of data sets

Handling of structured and unstructured data

READ MORE AT : https://www.partnerbo.co/informatica-intelligent-cloud-services-application-integration-overview

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Informatica API Manager

As we are stepping into a world of data-driven digital transformation that creates new use cases, we cannot ignore its requirement of different integration patterns. API integration is becoming increasingly popular for integrating applications. Informatica's API Manager allows customers to develop, publish, manage, monitor, deprecate, and consume for business coordination across numerous clouds and on-premises systems, both inside and beyond their firewalls. Additionally, Informatica Intelligent Cloud ServicesSM (IICS) API Manager service facilitates the management of the entire API life cycle.

Informatica Makes Intelligent API Building Simpler Than Ever

• Making APIs Accessible:

Informatica ensures that the accessibility of APIs is extended from developers to the members of your data and application teams. It provides a simple and accessible approach to building data, application, and orchestration APIs and minimizes organizations' dependability on the availability of consultants or IT teams.

• Advanced-Data Access:

Informatica provides unmatchable data access and manipulation capability to its customers. With an API call, you can orchestrate, ingest, synchronize, replicate, transform, lift and shift any data from anywhere, irrespective of the speed and latency, and that too in real-time. Your APIs' access is controlled and monitored so that your data building process is secure and well-managed.

• AI-Powered Metadata Discovery:

Informatica's API Manager comes with the built-in AI/machine learning-powered CLAIRE® engine so that you can automatically discover and describe your data for usage in different integration scenarios. Having a description for data is critical for your tools to work efficiently, whether you are working with large bulk datasets, making API calls, or doing ingestion of large data. Metadata discovery powered by CLAIRE provides your teams with the intelligence they need to understand and capture the value of your data.

READ MORE AT : https://www.partnerbo.co/informatica-api-manager

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Intelligent Data Cataloging for Cloud Data Warehouses, Data Lakes, and Lakehouses

Considering the level of efficiency and convenience the cloud brings with it, it is no surprise that organizations today are rapidly shifting their data and analytics to the cloud. Although by moving applications to the cloud, companies can scale on capabilities and reduce or eliminate costs of all aspects of data analytics, it is also very important for data warehousing and data lakes.

Enterprise data analytics have relied on traditional enterprise data warehouses and reporting systems for years now and it’s high time that companies are making efforts to make a shift to the cloud to obtain dramatic performance gains and competitive advantage.

Simultaneously, enterprises are implementing cloud data lakes to complement their cloud data warehouses and are also developing cloud lake houses, which bring together the best out of data warehouses and data lakes to deliver analytical capabilities for everything from business intelligence dashboards to advanced AI and machine learning initiatives.

Like every other aspect of technological advancements, this shift to the cloud also brings with it certain challenges that must be addressed. Although shifting to a cloud data warehouse, data lake or lake houses may seem pretty simple, a systematic and efficient strategic plan is required to pave your path of achieving maximum returns on your investments. Irrespective of whether you are shifting from an enterprise warehouse, data lake, or lakehouse to a cloud or just improving and updating your data and workloads in the cloud over time, you need to have a clear idea of your current data landscape in either of the cases. You need to ensure that you have all the tools needed to manage your data in the cloud in place and you abide by the recommended best practices.

The Informatica® Intelligent Cloud Lakehouse Data Management Solution for Cloud Analytics addresses all of these challenges in the most efficient way. It is based on industry-leading data integration, quality and governance, and metadata management technologies. With machine learning-based data asset identification and end-to-end visibility, Informatica Enterprise Data Catalog delivers the metadata management foundation you need to assess your current data landscape. Informatica Intelligent Cloud ServicesSM (IICS) offers the best-in-class enterprise iPaaS services for cloud data integration, cloud mass ingestion, and cloud data quality.

READ MORE AT : https://www.partnerbo.co/intelligent-data-cataloging-for-cloud-data-warehouses-data-lakes-and-lakehouses

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Informatica Enterprise Data Catalog Advanced Scanners

The enterprise data landscape is very complex and consists of hundreds of data sources like databases, warehouses, legacy mainframe systems, enterprise, and SaaS applications, Hadoop and Spark clusters, and data lakes having data at a petabyte scale. These data sources are spread across a multi-cloud environment, and in most cases, it is very difficult to fetch and understand the data.

Enterprises headed on their journey of digital transformation often find it extremely difficult to extract, understand, and track data dependencies across data sources and scripting languages. Additionally, regulations, enterprise data governance, and other data-driven digital initiatives require extensive audit trails to ensure that no risk is left unaddressed. This necessitates that you can track data and its transformations at a granular level across the data lifecycle, from source to target, and across data pipelines.

Informatica Enterprise Data Catalog is powered by the metadata-driven intelligence in the Informatica® CLAIRE® AI engine and offers the most advanced scanners that extract deep metadata and lineage from a variety of multi-cloud data sources. This facilitates the analysis of data dependencies and data issues and provides you with a better understanding of the impact of proposed changes.

READ MORE AT : https://www.partnerbo.co/informatica-enterprise-data-catalog-advanced-scanners

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Overview: Informatica Cloud Customer 360 | CC360 Introduction

Be ready to compete with customer service

The customer experience domain is highly competitive. Having a good customer experience builds you a loyal customer base and vice-versa. Every brand that aims to stand out from its competitors keeps its customer experience as the utmost priority. They intend to grasp a meaningful understanding of the customer data to provide them with the best user experience. 

You will need a complete 360 degrees view of your customers and their changing needs in order to present them with the best user experience and engagement. 

To build a strong customer relationship, you need to understand who your customer is, what products do they own, who is in their circle of influence, what the next best step should be, and so on.

READ MORE AT : https://www.partnerbo.co/overview-informatica-cloud-customer-360