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Real-time insights with AI-Powered Analytics In Microsoft Fabric

Updated: Sep 20

In today's world, data is growing rapidly, and technology is changing quickly, making it difficult for companies to manage their data.

To address this, Microsoft Fabric aims to simplify and future-proof data infrastructure by offering an ever-evolving, AI-powered data analytics platform. Fabric is designed to seamlessly integrate new capabilities, enabling you to focus less on managing and integrating your data infrastructure and more on leveraging insights from your data.


Microsoft Fabric: Complete Data Platform

Microsoft Fabric represents a major leap forward in data analytics and management, consolidating a diverse array of functionalities into a single, unified platform. This integration reduces the complexity and cost associated with managing multiple disparate tools, offering organizations a streamlined approach to data handling.


Real-Time Intelligence

At the core of Microsoft Fabric's innovations is the Real-Time Intelligence workload, a robust fusion of Synapse Real-Time Analytics and Data Activator. This advanced capability allows organizations to process and act on high-volume, granular event-streaming data in real time. With real-time querying and dynamic data transformation, users can derive actionable insights and respond to data events as they occur. The Real-Time Hub serves as a central management point for these data streams, facilitating seamless data integration and utilization.


Advanced Developer Tools

Microsoft Fabric enhances its appeal to developers with several powerful new tools:

Fabric Workload Development Kit

Microsoft Fabric Workload Development kit enables developers to create custom workloads that integrate natively within Fabric, enhancing user experience and operational efficiency.


GraphQL API

The introduction of a flexible GraphQL API offers a RESTful interface for querying data across multiple sources, reducing network overhead and accelerating data retrieval.


User Data Functions

Developers can now create bespoke solutions across various Fabric services, providing greater flexibility and control over data operations.


Data Workflows in Data Factory

The new Data workflows feature in Fabric’s Data Factory, powered by Apache Airflow, allows users to orchestrate complex data workflows using Python. This feature simplifies creating, scheduling, and monitoring data pipelines, making it easier for organizations to manage and automate their data processes.


AI-Powered Capabilities

Microsoft Fabric has recently introduced an enhanced workload named Real-Time Intelligence. This advanced workload seamlessly combines Synapse Real-time Analytics and Data Activator, offering a multitude of new features in preview. Real-Time Intelligence is engineered to provide organizations with up-to-the-minute insights, empowering them to make better decisions in real time. From data ingestion to transformation, real-time querying, and immediate action, this end-to-end experience enables seamless handling of real-time data without the need for prior storage. With Real-Time Intelligence, data can be ingested at high granularity, dynamically transformed, queried for instant insights, and triggered actions, such as alerting a production manager of equipment overheating.


Supporting this powerful workload is the Real-time hub, serving as a centralized platform for discovering, managing, and utilizing event streaming data from Fabric and other data sources. Much like the OneLake data hub simplifies the management of data at rest, the Real-time hub similarly facilitates the handling of data in motion. Users can easily transform and route events to any Fabric data store, create new streams for discovery and consumption, gain insights through the data profile, configure the required level of endorsement, set alerts for changing conditions, and more, all without leaving the hub.


It's important to note that while the existing Real-Time Analytics capabilities remain generally available, the Real-time hub and other new capabilities introduced with the Real-Time Intelligence workload are currently in preview.

Microsoft Fabric with your own custom workloads and experiences

Microsoft Fabric has been meticulously crafted to be versatile, customizable, and transparent. The new Fabric Workload Development Kit, currently in preview, represents a significant advancement for both software developers and customers. This innovative tool is designed to simplify the process of designing, constructing, and integrating applications within the Fabric ecosystem. By providing a seamless development experience, the Kit aims to enhance productivity and streamline workflows for those working with Microsoft Fabric. This kit will ensure that applications built with it will seamlessly integrate into Fabric, providing users with a consistent experience within their Fabric environment effortlessly. Furthermore, developers will have the opportunity to publish and monetize their custom workloads through Azure Marketplace.

Additionally, two new preview features were designed with developers in mind: API for GraphQL and user data functions in Microsoft Fabric. The API for GraphQL will empower data professionals by providing a powerful and flexible RESTful API to access data from multiple sources within Fabric with a single query API. This feature will streamline requests, reduce network overhead, and accelerate response rates. User data functions are user-defined functions tailored for Microsoft Fabric experiences across all data services, allowing developers to build applications using Fabric data sources more easily with native code ability, custom logic, and seamless integration.


Data workflows in the Fabric Data Factory workload

Introducing the preview of Data workflows in Microsoft Fabric as part of the Data Factory experience. With Data workflows, customers can define Directed Acyclic Graphs (DAG) files for advanced data workflow orchestration in Microsoft Fabric. Powered by the Apache Airflow runtime, Data workflows are designed to empower you to effortlessly author, schedule, and monitor workflows or data pipelines using Python.


Microsoft Fabric is lake-centric and open

The typical data estate has grown organically over time to span multiple clouds, accounts, databases, domains, and engines with a multitude of vendors and specialized services. OneLake, Fabric’s unified, multi-cloud data lake built to span an entire organization, can connect to data from across your data estate and reduce data duplication and sprawl.  

The expansion of OneLake shortcuts now enables connections to data from on-premises and network-restricted sources, extending beyond Azure Data Lake Service Gen2. This new capability, currently in preview, offers enhanced flexibility for accessing diverse data sources. With an on-premises data gateway, you can now create shortcuts to Google Cloud Storage, Amazon S3, and S3-compatible storage buckets that are either on-premises or otherwise network-restricted.


Empower business users with Microsoft Fabric

Insights drive impact only when they reach those who can use them to inform actions and decisions. Professional and citizen analysts bridge the gap between data and business results, and with Microsoft Fabric, they have the tools to quickly manage, analyze, visualize, and uncover insights that can be shared with the entire organization. Fabric helps analysts work even faster and more effectively by releasing the model explorer and the DAX query view in Microsoft Power BI Desktop into general availability.

The model explorer in Microsoft Power BI provides a rich view of all the semantic model objects in the data pane—helping you find items in your data fast. You can also use the model explorer to create calculation groups and reduce the number of measures by reusing calculation logic and simplifying semantic model consumption. 


Fabric is AI-powered

Since its launch, ChatGPT has rapidly garnered over 100 million users in just over two months, marking one of the most dramatic adoption curves in tech history. Now, a year and a half after its debut, organizations are still working on leveraging the power of generative AI for tangible business outcomes. By integrating generative AI into every aspect of Fabric, we enable your data professionals to harness its advantages in the right context and the right scenarios, achieving greater productivity at a faster pace.


Microsoft Fabric Copilot

Get ready to unleash the full potential of your data with Microsoft Fabric Copilot. Microsoft Fabric Copilot is designed to boost productivity for data professionals and make data exploration easier for business users. Use conversational language to create dataflows, generate code, build machine learning models, and visualize results. Exciting news - Copilot in Fabric is now generally available, starting with the Power BI experience. This means you can create stunning reports and summarize insights into narrative summaries in seconds. Plus, Copilot in Fabric is now on by default for all eligible tenants, including experiences for Data Factory, Data Engineering, Data Science, Data Warehouse, and Real-Time Intelligence, all still in preview. 

Keep an eye out for the general availability of Microsoft Copilot in Fabric for the Power BI experience, rolling out over the coming weeks to all customers with Power BI Premium capacity (P1 or higher) or Fabric capacity (F64 or higher). Microsoft has introduced a new Copilot in Fabric experience for Real-Time Intelligence, which is currently in preview.

This feature allows you to effortlessly explore real-time data, which is especially useful for less experienced users wanting to make the most of their time-series data stored in Eventhouse. With Copilot, you can simply type your question in conversational language and let it automatically translate to a KQL query you can execute. Don't miss out on this powerful new experience!


AI skills in Microsoft Fabric

Microsoft Fabric introduced a new AI feature called AI skills. With AI skills, you can easily pick a data source in Fabric and start asking questions about your data without any setup. The AI experience will even show you the query it used to find the answer, so you can add more tables, context, and settings to enhance the Q&A experience. AI skills make it easy for everyone to explore data, build AI experiences, and get the answers they need. They respect existing security permissions and can be customized to fit your organization's language and nuances. Plus, they'll soon work with Microsoft Copilot Studio, making your data more approachable and inviting users to explore insights through natural conversation.


Real-World Impact: Success Stories

Aurizon

Aurizon, Australia's largest rail freight operator, utilized Microsoft Fabric to overhaul its data architecture and analytics systems. The platform enabled Aurizon to eliminate legacy systems, streamline operations, and enhance predictive analytics capabilities. This transformation led to improved decision-making and operational efficiencies, demonstrating Fabric’s effectiveness in driving business value.


Elcome

As one of the world’s largest marine electronics companies, Elcome adopted Fabric’s Real-Time Intelligence to enhance its maritime services. The platform’s ability to manage and analyze high-volume, granular event data was instrumental in optimizing their offerings and delivering superior value to maritime crews.


Strategic Partnerships and Future Integrations

Snowflake

The partnership between Microsoft Fabric and Snowflake has expanded, including support for Apache Iceberg and bi-directional data access. This integration enhances interoperability between the platforms, allowing users to seamlessly work with data across both environments.


Adobe

The collaboration with Adobe integrates with Adobe Experience Platform and Adobe Campaign with Microsoft Fabric, facilitating the federated use of enterprise data. This integration supports enriched audience targeting and engagement strategies, leveraging data insights to drive marketing success.


Azure Databricks

The integration of Microsoft Fabric with Azure Databricks furthers the unification of data management, including direct access to Unity Catalog tables and bi-directional data flows. This collaboration streamlines data handling and enhances analytical capabilities across both platforms.


Conclusion

Microsoft Fabric is set to redefine data management and analytics with its comprehensive, AI-driven platform. By simplifying the integration of complex data systems and offering advanced real-time and AI-powered features, Microsoft Fabric empowers organizations to manage their data estate and derive actionable insights efficiently. With continuous innovation and strategic partnerships, Microsoft Fabric stands at the forefront of the data revolution, providing a future-proof solution for modern enterprises.

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