#unified api

[saas-app]

How to Use Shopify

Shopify has quickly become one of the most popular commerce platforms on the web, and business owners across all verticals use Shopify to sell online. If you’re thinking about starting a business, Shopify can be a wonderful tool to create an online store, and its easy-to-use features and interface make it the perfect solution for small business owners, creators and solo entrepreneurs.

Below are some tips to get the most out of your experience with Shopify:

Take Advantage of Shopify’s APIs

Shopify provides access to an application programming interface (API) that can extend the functionality of the platform’s features. For example, Shopify API integration can allow you to import store data into Google Sheets directly, making it faster and easier to create spreadsheets for sales data. You can also rely on Shopify API integration to pull shipping data from orders.

You do need a developer account to take advantage of a Shopify API, but this is fairly easy to set up. You will also need to install add-ons in your store for the various API features you want to take advantage of, but once again, this is a fairly simple process once you’re logged into your store.

Categorize Your Products

Shopify allows business owners to separate products into categories. This makes it easier for customers to view and search for products, but it can also help business owners keep up with inventory and sales.

When you create categories of products, you also have the chance to see data about what types of products sell the most during certain times of the week, month or year. This data can help you craft marketing plans and target sales for maximum impact.

Select the Right Theme

Shopify stores use themes to stylize the appearance of your storefront on the web. Choosing the right theme can make a big difference in a customer’s perception of your brand, so take some time to look through various themes before deciding on one. It’s also a good idea to review branding research to see what types of colors and images are most effective in your industry.

Read a similar article about Salesforce integration here at this page.

[rootfi]

This robust integration solution empowers seamless data exchange across platforms, streamlining processes and enhancing overall performance. With a user-friendly interface and powerful features, Unified API simplifies integration tasks, providing a unified experience for developers. Experience the next level of connectivity and flexibility through rootfi.dev's Unified API, bringing efficiency and precision to your software integration projects. Elevate your development journey with this cutting-edge solution.

[riot-control-camp]

OKAY NOT DONE TALKING ABOUT THE LITTLE GARDEN ARC

ESPECIALLY THE NARRATIVE PARALLELS BETWEEN ZORO AND SANJI AND DORRY AND BROGGY??? THE FACT THAT THOSE PARALLELS PARTICULARLY IMPLY THAT THEY HAVE A SPECIAL BOND THAT WILL LAST LITERALLY FOREVER???

THE VISUAL WHERE THE AUDIENCE REALIZES THAT THE MOUNTAIN RANGES WERE SKULLS?? PAIRED WITH THEM LYING IN THE SAME POSITION AS ZORO AND SANJI'S TWO DINOSAURS LEFT BEHIND ON THE BEACH?

average tumblr user notices single instance of symbolism, more at 11.

but usopp getting more moments of bravery!!! WE STAN HIS ARC!!!!! I LOVE HIM!!!

zoro getting to laugh and tease people this arc was beautiful, i love that stupid cunty bitch

sanji getting his part of the arc done through cunty trespassing, lying through his teeth, and beating up animals? FANTASTIC THANK YOU FOR MY LIFE (specifically thank you for that twisting move he did with his heels around the vultures head. how does it feel to live MY. D R E A M)

LUFFY WAS SO SHAPED. I WOULD KILL FOR HIM. HE'S SO FERAL.

and calling it now, nami is absolutely going to get malaria girl is the QUEEN of "it's nothing [2 episodes later it is in fact a resonant Something with excruciating plot relevance and emotional stakes attached to it"

almost simped for crocodile but miss all sunday was Right There MA'AM. MA'AM. RESPECTFULLY AND ASEXUALLY, TILL THE BED FUCKING BREAKS--

also he has a giant gold pet which i don't fuck with. also his rings remind me of redd white from ace attorney who is Unfuckable as he is a murderer of a mentor figure (other forms of murder have not detered me from simping in the past. in fact it is typically a point in a character's favor)

also oh my god tumblr makes so much more sense now that i am attempting to use it while high, my fluency rate and understanding of how every person on this platform is distressingly and hilariously comfortable assuming their experience is universal

okay but the still of the giant's weapon shards thrown over their head in victory? makes me insane, will never be over it cannot fucking handle it will be crying forever and ever

[phonesuite]

This blog post will give you an in-depth look at everything from API integration to connecting your switch with channel management systems, streamlining the operations performance of the hotel business. Learn More...

[manamade]

Ik it's easier to convince large numbers of people to strike if you assure them it's only one day and not a huge commitment but as a general practice, don't ever give an end date to a strike. Any company can survive one day, change nothing, and quietly take note of who took part. Strikes are meant to cause them fear of long term losses or full shutdown, and you can't cause that fear when you tell the companies when it ends! And how soon it is!

This is an effective show of solidarity, and imo good for this sort of general strike considering no one organization holds these groups together to negotiate for them all at once, but don't do this in a typical strike where you have concrete demands a company doesn't want to respect

Source

Let’s go

[bankcloud-blog]

Unified Middleware API Platform

A Unified Middleware API Platform is a software solution that provides a single, centralized point of integration for all of an organization's APIs and data sources. It acts as a middleware layer, sitting between the different APIs and services, and providing a consistent API design and developer experience.

[mariacallous]

WASHINGTON (AP) — You’ve heard of twofers. Kenya Hutton is a “threefer.”

His parents are immigrants, he’s a Black man and he’s gay — at a moment in history when anti-immigrant fervor, racism and anti-LGBTQ feelings are rampant and amplified by Trump administration policies.

Hutton is hardly alone.

As members of the Black and Latino LGBTQ and transgender and other communities come to the nation’s capital for World Pride in the coming days, many are under siege from multiple directions thanks to their multiple identities. They will hold individualized programs and celebrations that blend into World Pride.

Their mutual jeopardy will be a unifying theme. The celebrations, music, food, parades, plays and parties will unfold against a backdrop of human rights and political strategizing and, in some cases, discussions about how to survive in a climate that contains many people who do not want them around.

“I always tell folks that DC was the perfect place to have World Pride,” Hutton said. “We have so many different identity prides here in D.C., from Black Pride to Trans Pride to API Pride, Latinx Pride, Military Pride, Women’s Pride, Silver Pride, we have so many different groups of people that have their own pride celebration.”

[atcuality3]

Simplify Decentralized Payments with a Unified Cash Collection Application

In a world where financial accountability is non-negotiable, Atcuality provides tools that ensure your field collections are as reliable as your core banking or ERP systems. Designed for enterprises that operate across multiple regions or teams, our cash collection application empowers agents to accept, log, and report payments using just their mobile devices. With support for QR-based transactions, offline syncing, and instant reconciliation, it bridges the gap between field activities and central operations. Managers can monitor performance in real-time, automate reporting, and minimize fraud risks with tamper-proof digital records. Industries ranging from insurance to public sector utilities trust Atcuality to improve revenue assurance and accelerate their collection cycles. With API integrations, role-based access, and custom dashboards, our application becomes the single source of truth for your field finance workflows.

[sleepingdragoninn]

Surveyor: a library for minecraft mapping

Surveyor Map Framework is an open-source backend for minecraft map mods. It performs all the heavy lifting of scanning the world as it's explored, saving and loading map data, networking for map and waypoint sharing, and exposing an API for points of interest.

Right now, it's used for both Antique Atlas 4 and Hoofprint.

We're hoping Surveyor can help more people make open-source map mods, and better centralize difficult to implement features like map sharing and addon APIs. You can read more here:

[digitaldetoxworld]

Web to Mobile: Building Seamless Apps with .NET"

 .NET is a effective, flexible, and open-supply developer platform created with the aid of Microsoft. It enables the creation of a huge range of applications—from computing device to cellular, net, cloud, gaming, and IoT. Over the years, .NET has evolved substantially and has become one of the maximum extensively used frameworks inside the software improvement enterprise.

Dot Net Programming Language

A Brief History of .NET

The .NET Framework become first delivered through Microsoft in the early 2000s. The original cause turned into to offer a steady item-oriented programming surroundings regardless of whether code became stored and finished locally, remotely, or via the internet.

Over time, Microsoft developed .NET right into a cross-platform, open-supply framework. In 2016, Microsoft launched .NET Core, a modular, high-performance, cross-platform implementation of .NET. In 2020, the company unified all its .NET technologies beneath one umbrella with the discharge of .NET five, and later persisted with .NET 6, .NET 7, and past.

Today, the unified platform is actually called .NET, and it allows builders to build apps for Windows, macOS, Linux, iOS, Android, and greater using a single codebase.

Key Features of .NET

1. Cross-Platform Development

One of the maximum tremendous features of present day .NET (publish .NET Core) is its ability to run on a couple of platforms. Developers can construct and deploy apps on Windows, Linux, and macOS with out enhancing their codebases.

2. Multiple Language Support

.NET supports numerous programming languages, together with:

C# – the maximum extensively used language in .NET development

F# – a purposeful-first programming language

Visual Basic – an smooth-to-analyze language, regularly used in legacy programs

This multilingual capability allows developers to pick out the nice language for their precise use cases.

3. Extensive Library and Framework Support

.NET offers a comprehensive base magnificence library (BCL) and framework libraries that aid the whole lot from record studying/writing to XML manipulation, statistics get entry to, cryptography, and extra.

Four. ASP.NET for Web Development

ASP.NET is a part of the .NET platform specially designed for net improvement. ASP.NET Core, the cross-platform model, permits builders to build scalable internet APIs, dynamic web sites, and actual-time packages the usage of technology like SignalR.

5. Rich Development Environment

.NET integrates seamlessly with Visual Studio, one of the most function-wealthy integrated development environments (IDEs) available. Visual Studio offers capabilities together with IntelliSense, debugging tools, challenge templates, and code refactoring.

6. Performance and Scalability

.NET is thought for high performance and scalability, especially with its guide for asynchronous programming using async/wait for and its Just-In-Time (JIT) compilation.

7. Secure and Reliable

.NET presents sturdy safety features, including code get entry to security, role-based protection, and cryptography training. It also handles reminiscence management thru rubbish series, minimizing reminiscence leaks.

Common Applications Built with .NET

1. Web Applications

With ASP.NET Core, builders can create cutting-edge, scalable internet programs and RESTful APIs. Razor Pages and Blazor are technology within ASP.NET Core that help server-facet and purchaser-facet rendering.

2. Desktop Applications

Using Windows Forms or Windows Presentation Foundation (WPF), builders can build conventional computing device applications. .NET MAUI (Multi-platform App UI) now extends this functionality to move-platform computer and cellular programs.

3. Mobile Applications

Through Xamarin (now incorporated into .NET MAUI), developers can create native mobile applications for Android and iOS the usage of C#.

4. Cloud-Based Applications

.NET is nicely-acceptable for cloud development, in particular with Microsoft Azure. Developers can build cloud-local apps, serverless capabilities, and containerized microservices the usage of Docker and Kubernetes.

5. IoT Applications

.NET helps Internet of Things (IoT) development, allowing builders to construct applications that engage with sensors and gadgets.

6. Games

With the Unity sport engine, which helps C#, developers can use .NET languages to create 2D, three-D, AR, and VR games.

Components of .NET

1. .NET SDK

The Software Development Kit includes everything had to build and run .NET packages: compilers, libraries, and command-line tools.

2. CLR (Common Language Runtime)

It handles reminiscence control, exception managing, and rubbish collection.

Three. BCL (Base Class Library)

The BCL offers center functionalities including collections, record I/O, records kinds, and extra.

4. NuGet

NuGet is the package manager for .NET. It lets in builders to install, manage, and share libraries without problems.

Modern .NET Versions

.NET five (2020): Unified the .NET platform (Core + Framework)

.NET 7 (2022): Further overall performance enhancements and more desirable APIs

.NET 8 (2023): Continued attention on cloud-native, cellular, and web improvement

Advantages of Using .NET

Cross-platform assist – construct as soon as, run everywhere

Large developer network – widespread sources, libraries, and frameworks

Robust tooling – especially with Visual Studio and JetBrains Rider

Active improvement – backed by using Microsoft and open-source community

Challenges and Considerations

Learning curve – particularly for beginners due to its giant atmosphere

Legacy framework – older .NET Framework tasks aren't like minded with .NET Core or more recent variations without migration

Platform differences – sure APIs or libraries might also behave in a different way throughout operating systems

Getting Started with .NET

To begin growing with .NET:

Install the .NET SDK from the legitimate .NET internet site.

Create a new project: Use the dotnet new command or Visual Studio templates.

Write code: Develop your logic the usage of C#, F#, or VB.NET.

[quohotos]

Features I actually want for my operating system:

Natively download videos from online sources without having to go to a sketchy website

Turn short videos or screen recordings into gifs without opening an expensive video editor

A unified notification scheme that's actually enforced so I don't have a million different types of notifications in the corner of my screen looking at YOU Microsoft Teams

Task manager with a SEARCH BAR that lets me select MULTIPLE things at once + tells me which .exe spawned the task

Uninstall api that works

consistent ui design language across the whole operating system

a search bar that ONLY searches my system and does not put the web in

an easy to access volume mixer

automatically converting .webp files in my clipboard to .png like god fucking intended

Features that I literally never asked for in a million years, why the fuck would I want that?

Searching bing for my file name instead of my local disk

Searching windows store for an application name rather than my local disk

cloud storage turned on by default

watching everything I do in the off chance that I can ask an AI if it saw something

whatever the fuck co-pilot is

ads

[saas-app]

Tips to Improve Your E-Commerce Business

The e-commerce sphere presents limitless possibilities for your business. It allows your company to reach a broader audience and could be your ticket to growth. But finding success online is no easy task. Here are a few tips that you can try to improve your e-commerce business.

Take Advantage of Software

You can't expect to boost your bottom line without investing in modern e-commerce software. Reaching audiences, creating a fantastic buyer's journey and providing a memorable experience to customers requires more tools than most realize.

Fortunately, there are many options available. From Shopify and WooCommerce to HubSpot and Salesforce, many platforms can take your sales and marketing departments to new levels. Use a unified API for ecommerce, and you can dramatically improve productivity while setting the stage for better results.

Unify Your Sales Tools

You're on the right path if you already use apps to support your sales, marketing and customer service teams. But it's important to unify those platforms for maximum efficiency. The problem that many e-commerce businesses face today is that they're harnessing the potential of different tools in ways that waste time and resources.

Jumping between apps to get all the information you need to close a sale is not a productive way to work. It's frustrating and can lead to miscommunication that harms the sales process. With a unified API for ecommerce, you eliminate that problem.

Support all the integrations you need without the complicated workarounds.

Reach Your Customers Through Multiple Channels

The key to modern e-commerce is a multi-channel approach. The Internet is a big place! Limiting your strategies to your website won't do much to attract new customers.

It's best to reach people from as many places as possible. That means having a presence on every social media platform and actively engaging your audience. Create posts, advertise sales and give your followers an easy way to jump into the sales cycle.

Do Split Testing

Always do A/B testing for all your marketing materials. Your target audience is complex. Your goal is to create universally compelling content that impacts as many people as possible.

The only way to do that is through A/B testing. This process helps you understand what works and what doesn't, enabling you to create high-impact marketing material that sticks.

Simplify your accounting processes with our Unified API for accounting. Experience efficiency like never before, visit this website to streamline your financial operations!

[rootfi]

Streamline your financial data management with RootFi's Unified API, a centralized hub for connecting to over 10 integrations and accessing standardized data models. Leverage Passthrough Requests for raw data access and custom APIs for edge cases. Experience seamless authentication, manage integrations effortlessly, and safeguard your data with RootFi's robust security measures.

[aktechworld]

Integrating Third-Party Tools into Your CRM System: Best Practices

A modern CRM is rarely a standalone tool — it works best when integrated with your business's key platforms like email services, accounting software, marketing tools, and more. But improper integration can lead to data errors, system lags, and security risks.

Here are the best practices developers should follow when integrating third-party tools into CRM systems:

1. Define Clear Integration Objectives

Identify business goals for each integration (e.g., marketing automation, lead capture, billing sync)

Choose tools that align with your CRM’s data model and workflows

Avoid unnecessary integrations that create maintenance overhead

2. Use APIs Wherever Possible

Rely on RESTful or GraphQL APIs for secure, scalable communication

Avoid direct database-level integrations that break during updates

Choose platforms with well-documented and stable APIs

Custom CRM solutions can be built with flexible API gateways

3. Data Mapping and Standardization

Map data fields between systems to prevent mismatches

Use a unified format for customer records, tags, timestamps, and IDs

Normalize values like currencies, time zones, and languages

Maintain a consistent data schema across all tools

4. Authentication and Security

Use OAuth2.0 or token-based authentication for third-party access

Set role-based permissions for which apps access which CRM modules

Monitor access logs for unauthorized activity

Encrypt data during transfer and storage

5. Error Handling and Logging

Create retry logic for API failures and rate limits

Set up alert systems for integration breakdowns

Maintain detailed logs for debugging sync issues

Keep version control of integration scripts and middleware

6. Real-Time vs Batch Syncing

Use real-time sync for critical customer events (e.g., purchases, support tickets)

Use batch syncing for bulk data like marketing lists or invoices

Balance sync frequency to optimize server load

Choose integration frequency based on business impact

7. Scalability and Maintenance

Build integrations as microservices or middleware, not monolithic code

Use message queues (like Kafka or RabbitMQ) for heavy data flow

Design integrations that can evolve with CRM upgrades

Partner with CRM developers for long-term integration strategy

CRM integration experts can future-proof your ecosystem

[ellagrace20]

Cloud Migration and Integration A Strategic Shift Toward Scalable Infrastructure

In today’s digital-first business environment, cloud computing is no longer just a technology trend—it’s a foundational element of enterprise strategy. As organizations seek greater agility, scalability, and cost-efficiency, cloud migration and integration have emerged as critical initiatives. However, transitioning to the cloud is far from a lift-and-shift process; it requires thoughtful planning, seamless integration, and a clear understanding of long-term business objectives.

What is Cloud Migration and Why Does It Matter

Cloud migration involves moving data, applications, and IT processes from on-premises infrastructure or legacy systems to cloud-based environments. These environments can be public, private, or hybrid, depending on the organization’s needs. While the move offers benefits such as cost reduction, improved performance, and on-demand scalability, the true value lies in enabling innovation through flexible technology infrastructure.

But migration is only the first step. Cloud integration—the process of configuring applications and systems to work cohesively within the cloud—is equally essential. Without integration, businesses may face operational silos, inconsistent data flows, and reduced productivity, undermining the very purpose of migration.

Key Considerations in Cloud Migration

A successful cloud migration depends on more than just transferring workloads. It involves analyzing current infrastructure, defining the desired end state, and selecting the right cloud model and service providers. Critical factors include:

Application suitability: Not all applications are cloud-ready. Some legacy systems may need reengineering or replacement.

Data governance: Moving sensitive data to the cloud demands a strong focus on compliance, encryption, and access controls.

Downtime management: Minimizing disruption during the migration process is essential for business continuity.

Security architecture: Ensuring that cloud environments are resilient against threats is a non-negotiable part of migration planning.

Integration for a Unified Ecosystem

Once in the cloud, seamless integration becomes the linchpin for realizing operational efficiency. Organizations must ensure that their applications, databases, and platforms communicate efficiently in real time. This includes integrating APIs, aligning with enterprise resource planning (ERP) systems, and enabling data exchange across multiple cloud platforms.

Hybrid and Multi-Cloud Strategies

Cloud strategies have evolved beyond single-provider solutions. Many organizations now adopt hybrid (combining on-premise and cloud infrastructure) or multi-cloud (using services from multiple cloud providers) approaches. While this enhances flexibility and avoids vendor lock-in, it adds complexity to integration and governance.

To address this, organizations need a unified approach to infrastructure orchestration, monitoring, and automation. Strong integration frameworks and middleware platforms become essential in stitching together a cohesive IT ecosystem.

Long-Term Value of Cloud Transformation

Cloud migration and integration are not one-time projects—they are ongoing transformations. As business needs evolve, cloud infrastructure must adapt through continuous optimization, cost management, and performance tuning.

Moreover, integrated cloud environments serve as the foundation for emerging technologies like artificial intelligence, data analytics, and Internet of Things (IoT), enabling businesses to innovate faster and more efficiently.

By treating cloud migration and integration as strategic investments rather than tactical moves, organizations position themselves to stay competitive, agile, and future-ready.

[govindhtech]

Google Cloud’s BigQuery Autonomous Data To AI Platform

BigQuery automates data analysis, transformation, and insight generation using AI. AI and natural language interaction simplify difficult operations.

The fast-paced world needs data access and a real-time data activation flywheel. Artificial intelligence that integrates directly into the data environment and works with intelligent agents is emerging. These catalysts open doors and enable self-directed, rapid action, which is vital for success. This flywheel uses Google's Data & AI Cloud to activate data in real time. BigQuery has five times more organisations than the two leading cloud providers that just offer data science and data warehousing solutions due to this emphasis.

Examples of top companies:

With BigQuery, Radisson Hotel Group enhanced campaign productivity by 50% and revenue by over 20% by fine-tuning the Gemini model.

By connecting over 170 data sources with BigQuery, Gordon Food Service established a scalable, modern, AI-ready data architecture. This improved real-time response to critical business demands, enabled complete analytics, boosted client usage of their ordering systems, and offered staff rapid insights while cutting costs and boosting market share.

J.B. Hunt is revolutionising logistics for shippers and carriers by integrating Databricks into BigQuery.

General Mills saves over $100 million using BigQuery and Vertex AI to give workers secure access to LLMs for structured and unstructured data searches.

Google Cloud is unveiling many new features with its autonomous data to AI platform powered by BigQuery and Looker, a unified, trustworthy, and conversational BI platform:

New assistive and agentic experiences based on your trusted data and available through BigQuery and Looker will make data scientists, data engineers, analysts, and business users' jobs simpler and faster.

Advanced analytics and data science acceleration: Along with seamless integration with real-time and open-source technologies, BigQuery AI-assisted notebooks improve data science workflows and BigQuery AI Query Engine provides fresh insights.

Autonomous data foundation: BigQuery can collect, manage, and orchestrate any data with its new autonomous features, which include native support for unstructured data processing and open data formats like Iceberg.

Look at each change in detail.

User-specific agents

It believes everyone should have AI. BigQuery and Looker made AI-powered helpful experiences generally available, but Google Cloud now offers specialised agents for all data chores, such as:

Data engineering agents integrated with BigQuery pipelines help create data pipelines, convert and enhance data, discover anomalies, and automate metadata development. These agents provide trustworthy data and replace time-consuming and repetitive tasks, enhancing data team productivity. Data engineers traditionally spend hours cleaning, processing, and confirming data.

The data science agent in Google's Colab notebook enables model development at every step. Scalable training, intelligent model selection, automated feature engineering, and faster iteration are possible. This agent lets data science teams focus on complex methods rather than data and infrastructure.

Looker conversational analytics lets everyone utilise natural language with data. Expanded capabilities provided with DeepMind let all users understand the agent's actions and easily resolve misconceptions by undertaking advanced analysis and explaining its logic. Looker's semantic layer boosts accuracy by two-thirds. The agent understands business language like “revenue” and “segments” and can compute metrics in real time, ensuring trustworthy, accurate, and relevant results. An API for conversational analytics is also being introduced to help developers integrate it into processes and apps.

In the BigQuery autonomous data to AI platform, Google Cloud introduced the BigQuery knowledge engine to power assistive and agentic experiences. It models data associations, suggests business vocabulary words, and creates metadata instantaneously using Gemini's table descriptions, query histories, and schema connections. This knowledge engine grounds AI and agents in business context, enabling semantic search across BigQuery and AI-powered data insights.

All customers may access Gemini-powered agentic and assistive experiences in BigQuery and Looker without add-ons in the existing price model tiers!

Accelerating data science and advanced analytics

BigQuery autonomous data to AI platform is revolutionising data science and analytics by enabling new AI-driven data science experiences and engines to manage complex data and provide real-time analytics.

First, AI improves BigQuery notebooks. It adds intelligent SQL cells to your notebook that can merge data sources, comprehend data context, and make code-writing suggestions. It also uses native exploratory analysis and visualisation capabilities for data exploration and peer collaboration. Data scientists can also schedule analyses and update insights. Google Cloud also lets you construct laptop-driven, dynamic, user-friendly, interactive data apps to share insights across the organisation.

This enhanced notebook experience is complemented by the BigQuery AI query engine for AI-driven analytics. This engine lets data scientists easily manage organised and unstructured data and add real-world context—not simply retrieve it. BigQuery AI co-processes SQL and Gemini, adding runtime verbal comprehension, reasoning skills, and real-world knowledge. Their new engine processes unstructured photographs and matches them to your product catalogue. This engine supports several use cases, including model enhancement, sophisticated segmentation, and new insights.

Additionally, it provides users with the most cloud-optimized open-source environment. Google Cloud for Apache Kafka enables real-time data pipelines for event sourcing, model scoring, communications, and analytics in BigQuery for serverless Apache Spark execution. Customers have almost doubled their serverless Spark use in the last year, and Google Cloud has upgraded this engine to handle data 2.7 times faster.

BigQuery lets data scientists utilise SQL, Spark, or foundation models on Google's serverless and scalable architecture to innovate faster without the challenges of traditional infrastructure.

An independent data foundation throughout data lifetime

An independent data foundation created for modern data complexity supports its advanced analytics engines and specialised agents. BigQuery is transforming the environment by making unstructured data first-class citizens. New platform features, such as orchestration for a variety of data workloads, autonomous and invisible governance, and open formats for flexibility, ensure that your data is always ready for data science or artificial intelligence issues. It does this while giving the best cost and decreasing operational overhead.

For many companies, unstructured data is their biggest untapped potential. Even while structured data provides analytical avenues, unique ideas in text, audio, video, and photographs are often underutilised and discovered in siloed systems. BigQuery instantly tackles this issue by making unstructured data a first-class citizen using multimodal tables (preview), which integrate structured data with rich, complex data types for unified querying and storage.

Google Cloud's expanded BigQuery governance enables data stewards and professionals a single perspective to manage discovery, classification, curation, quality, usage, and sharing, including automatic cataloguing and metadata production, to efficiently manage this large data estate. BigQuery continuous queries use SQL to analyse and act on streaming data regardless of format, ensuring timely insights from all your data streams.

Customers utilise Google's AI models in BigQuery for multimodal analysis 16 times more than last year, driven by advanced support for structured and unstructured multimodal data. BigQuery with Vertex AI are 8–16 times cheaper than independent data warehouse and AI solutions.

Google Cloud maintains open ecology. BigQuery tables for Apache Iceberg combine BigQuery's performance and integrated capabilities with the flexibility of an open data lakehouse to link Iceberg data to SQL, Spark, AI, and third-party engines in an open and interoperable fashion. This service provides adaptive and autonomous table management, high-performance streaming, auto-AI-generated insights, practically infinite serverless scalability, and improved governance. Cloud storage enables fail-safe features and centralised fine-grained access control management in their managed solution.

Finaly, AI platform autonomous data optimises. Scaling resources, managing workloads, and ensuring cost-effectiveness are its competencies. The new BigQuery spend commit unifies spending throughout BigQuery platform and allows flexibility in shifting spend across streaming, governance, data processing engines, and more, making purchase easier.

Start your data and AI adventure with BigQuery data migration. Google Cloud wants to know how you innovate with data.