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RAG vs Fine-Tuning: Choosing the Right GenAI Grounding Strategy
Overview Organizations increasingly want AI assistants that understand their products, policies, and business processes. Two common approaches for adding company-specific knowledge are Retrieval-Augmented Generation (RAG) and fine-tuning. Understanding their strengths...
Rethinking OLTP
Table of Content 1. The End of Traditional OLTP?2. The Invisible Cost of Moving Data3. AI Has Changed the Rules4. A New Category Is Emerging5. Microsoft Fabric SQL Database: Operational Data Meets OneLake6. Databricks Lakebase: Reimagining the Database7. Different...
dbt best practices for scalable data transformation at Enterprise scale
Table of Content 1. Why Enterprises Choose dbt for Transformations2. The Enterprise Transformation Challenge3. Why Enterprises Choose dbt for Transformations4. Summary5. Enterprise Architecture Pattern for dbt6. Scaling the Layered Approach with Domain-Oriented...
Exploring the Power of TMDL View in Power BI: Building Reusable, Manageable, and Scalable Semantic Models
Table of Content 1. Introduction2. What is TMDL View?3. Key Features of TMDL View 4. Why TMDL Matters 5. Enhancing Reusability Through TMDL 6. Creating Perspectives in the TMDL view 7. Changing Storage Modes with TMDL View 8. Advantages of using TMDL View 9....
AutoML in Microsoft Fabric – Accelerate Machine Learning with a Unified Data Platform
Table of Content 1. Introduction2. AutoML in Microsoft Fabric- Overview3. Core capabilities and supported scenarios4. How the workflow plays out in Fabric5. Key advantages for data engineering & analytics teams6. Important considerations, limitations and best...
Creating Data Agents in Microsoft Fabric: A Complete Guide
Introduction In today’s data-driven world, organizations need tools that allow them to interact with, automate, and analyse data efficiently. Microsoft Fabric, with its unified analytics platform, makes this possible by integrating data engineering, data warehousing,...
Integrating Microsoft Fabric with Azure Synapse Analytics: New Features and Benefits
Introduction In today’s data-driven economy, businesses must make faster, smarter decisions powered by insights derived from massive volumes of information. Yet for many organizations, data remains fragmented—stored across data lakes, warehouses, and analytics...
RAG Pipeline using SQL Database in Fabric
Introduction This project provides step-by-step guidance for building a Retrieval Augmented Generation (RAG) pipeline to make your data AI-ready using Microsoft. The RAG pipeline is triggered every time a file is uploaded to Azure Blob Storage. The pipeline processes...
Modern Data Platforms- Microsoft Fabric vs Databricks vs Snowflake
The Evolution of Modern Data Platforms Data platforms have come a long way—from traditional databases to data warehouses, then to cloud-native architectures. Today, as we enter the era of Agentic AI, organizations need their data to be AI-ready: unified, governed, and...








