Unifying Data Workflows with Microsoft Fabric

Microsoft Fabric unifies data workflows, simplifying complexities and enhancing productivity with AI-driven capabilities, as showcased by Tiger Analytics.

In a recent presentation at the Data Engineering Summit 2024 in Bangalore, Sudershan Srinivasan and Hariharan Rajendran from Tiger Analytics shared their insights on modern data platforms and the revolutionary impact of Microsoft Fabric. The event shed light on the challenges of implementing contemporary data solutions and showcased innovative approaches to overcoming these obstacles using Microsoft’s new platform.

Understanding Microsoft Fabric

Addressing Modern Data Platform Challenges

The modern data landscape is vast and complex, with numerous tools and technologies available. This complexity brings significant challenges, such as selecting the right tools, setting them up correctly, managing them, optimizing costs, ensuring agility, and making the platform scalable and future-ready.

Microsoft Fabric: A Unified Solution

Microsoft Fabric aims to simplify these challenges by unifying data integration, data warehousing, lakehouse, real-time analytics, and Power BI experiences into a single SaaS platform. It provides a seamless, easy-to-use interface with no infrastructure overhead, enabling users to access and utilize all capabilities through a single sign-on.

The platform supports diverse personas, from data engineers to data scientists and analysts, offering AI assistance and built-in security features. This comprehensive approach ensures a faster time to market and simplifies the overall implementation of use cases.

Real-World Application: A Customer Implementation

The Challenge

The customer faced significant issues with their legacy platform, which relied heavily on complex Power Queries embedded within Power BI reports. These queries were not scalable, hard to maintain, and required specialized knowledge, creating dependency on specific individuals and hindering adherence to organizational standards.

The Solution

Tiger Analytics leveraged Microsoft Fabric to modernize the customer’s data platform. They developed accelerators to extract metadata from legacy platforms, convert complex Power Queries to SQL using OpenAI integrations, and automate testing and deployment processes within Fabric.

Solution Architecture

The solution architecture involved:

  1. Metadata Extraction: Using custom-built accelerators, metadata was extracted from legacy platforms and stored in CSV format.
  2. Data Transformation: The extracted metadata was read and transformed into SQL queries using OpenAI APIs integrated within Fabric.
  3. Testing and Validation: Automated testing ensured that the transformed SQL queries maintained the original functionality.
  4. Data Mart Creation: The final step involved creating data marts within Fabric, ensuring seamless integration and scalability for future use cases.

Co-Pilot Integration

Microsoft Fabric’s Co-Pilot feature was highlighted as a game-changer, providing AI-driven assistance across various experiences:

  • For Business Users: Summarizes reports and answers questions based on the underlying semantic model, enhancing self-service capabilities.
  • For Power Users: Facilitates the creation of reports by suggesting possible report pages and enabling prompt-driven report generation.
  • For Data Engineers: Simplifies complex transformations in Dataflow Gen 2 and provides detailed descriptions of transformation steps.
  • For Developers: Integrates with Fabric notebooks, allowing natural language queries to generate and execute code, making it easier for non-experts to perform data operations.

Demonstrating the Power of Fabric

The presentation included a demo showcasing the capabilities of Co-Pilot in Power BI, Dataflow Gen 2, and Fabric notebooks. The demo illustrated how Co-Pilot can assist in creating reports, summarizing data, performing complex transformations, and generating code, significantly enhancing productivity and reducing the need for specialized skills.


The insights shared by Sudershan Srinivasan and Hariharan Rajendran highlight the transformative potential of Microsoft Fabric in unifying data workflows and simplifying the complexities of modern data platforms. By leveraging AI-driven capabilities and seamless integration, organizations can achieve faster implementation, better scalability, and enhanced productivity, paving the way for a more efficient and future-ready data landscape.

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