As data professionals dive into the fundamentals of Fabric and OneLake, it’s critical to understand the foundational technology that makes OneLake possible: Delta Lake.
Microsoft Fabric and OneLake are changing how organizations manage and analyze their data. The core of these technologies is Delta Lake, a critical yet often overlooked foundation that powers modern data architectures.
Centric Consulting Data and Analytics Senior Architect Sipi Krishna will present “Unlocking Delta Lake – A Beginner’s Primer” at the upcoming Microsoft Fabric Community Conference (FabCon) slated for March 31 to April 2 at the MGM Grand in Las Vegas, Nevada. FabCon 2025 is the second event of its kind, bringing together the Microsoft Fabric, Power BI, SQL, and AI communities for sessions, workshops, keynotes, and more.
Designed for data professionals who want to understand how Delta Lake can enhance their Microsoft Fabric implementations, Krishna’s session will demystify Delta Lake from the fundamentals to practical implementation strategies.
Whether you’re new to Delta Lake or looking to deepen your knowledge, participants will walk away with actionable insights and practical implementation strategies, including:
- The evolution of traditional data lakes to the Delta Lake architecture
- Key concepts and features of Delta Lake, including ACID transactions, schema enforcement, and time travel capabilities
- How Delta Lake integrates with modern data platforms like Microsoft Fabric and OneLake, with real-world examples
- Advanced use cases demonstrating the benefits of implementing Delta Lake on data reliability, performance, and governance
Speaker Bio
Sipi Krishna is a Data and Analytics Senior Architect for Centric Consulting with over 15 years of experience. She is accredited in Databricks Lakehouse Fundamentals, holds the Databricks Certified Data Engineer Associate certification, is an AWS Certified Cloud Professional, and has earned Microsoft Applied Skills in implementing Real-time Intelligence solutions with Microsoft Fabric.
Sipi specializes in implementing Lakehouse and Medallion architectures, as well as providing support for data warehouses, data marts, and web applications. She has hands-on experience in designing and implementing Continuous Integration and Continuous Deployment (CICD) pipelines to optimize software delivery processes. She is skilled in orchestrating data pipelines using Azure Data Factory, Synapse, SQL Server and SSIS and Databricks to automate and enhance data processing.