Apr 19, 3:00 – 7:30 AM (UTC)
In this Snowflake Community Meetup, we will explore key advancements that are shaping the future of data management and analytics. The session on Data Agents in Snowflake will deep dive into how these intelligent agents automate workflows, facilitate seamless data movement, and enhance operational efficiency. Moving to Mastering Iceberg, we will uncover the power of Apache Iceberg’s multi-engine compatibility, demonstrating how Snowflake optimizes performance for modern workloads and enables a truly open, interoperable data lakehouse architecture. Dynamic Schema Evolution is another critical challenge that organizations face when dealing with constantly changing CSV structures. This session will showcase how Snowflake dynamically adapts to schema modifications without disrupting pipelines, ensuring robust data integrity. Finally, we will highlight the need for Infrastructure as Code(IaC) in Snowflake Resource Management, showing how automation frameworks like Terraform and Snowflake CLI simplify resource provisioning, enforce governance, and bring DevOps best practices into data operations.
Through expert insights, live demonstrations, and real-world use cases, this meetup will provide actionable strategies to enhance your Snowflake experience.
Location:
LTIMindtree
L&T Innovation Campus - Tower-1,
Opposite to DLF IT Park
Mount Poonamallee Road, Manapakkam,
Chennai 600089
Saturday, April 19, 2025
3:00 AM – 7:30 AM (UTC)
Registration and Name Tag Collection |
Welcome and Introduction |
Data Agents in Snowflake |
Dynamic Schema Evolution: Handling Changing CSV Files in Snowflake |
Tea Break and Networking |
Mastering Iceberg: Understanding Multiengine compatibility & Performance for modern workloads |
The Need for Infrastructure As Code (IAC) in Snowflake Resource Management |
Closing Note |
Lunch and Networking |
LTIMindtree
Head of Snowflake Tech Consulting and Data Superhero
LTIMindree
Principal, Data Engineering
LTIMindtree
Snowflake Architect
Data Delivery Head for BFS Chennai
LTIMindtree
Director - Data Engineering
LTIMindtree
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