Exploring Snowflake: Data Validation, DataStreams and Open Lakehouses

Name: Exploring Snowflake: Data Validation, DataStreams and Open Lakehouses
Start: 2026-08-30T11:30:00+05:30
End: 2026-08-30T14:30:00+05:30
Location: Rajasthan International Center

Jaipur

Join us for an inspiring evening of learning and networking at our Jaipur Snowflake User Group event! Dive into the fasc...

Aug 30, 6:00 – 9:00 AM (UTC)

Data EngineeringData Governance

About this event

Join us for an inspiring evening of learning and networking at our Jaipur Snowflake User Group event! Dive into the fascinating world of data validation with Snowflake's powerful tools, and discover how to architect open lakehouses using Iceberg Tables. Connect with fellow data enthusiasts, share insights, and explore new ways to leverage Snowflake. Don't miss this opportunity to grow your skills and expand your network. Register now to reserve your spot!

When

Sunday, August 30, 2026
6:00 AM – 9:00 AM (UTC)

Where

Rajasthan International Center
Bhamashah State Data Centre Block-C, Jhalana Doongri, Jaipur, Rajasthan 302004
Jaipur, RJ 302004

Agenda

6:00 AM	Registrations and Intros
6:30 AM	Understanding Datastreams for Streaming Data - Divyansh Saxena	Snowflake Datastream fits alongside Snowpipe Streaming and Dynamic Tables to power end-to-end real-time pipelines, and how data teams are using it to build continuous AI and streaming applications with less operational overhead.
7:00 AM	Snowflake Data Validation Tool - Rishabh Garg	Ensure data integrity with the Snowflake Data Validation Tool. Discover how this framework automates massive platform migrations, prevents regressions, and secures trust. Reliable data drives modern enterprise analytics, but cross-platform validation is traditionally slow and prone to human error. This session dives into how the automated validation utility uses a multi-level validation framework—running L1 schema integrity, L2 statistical metrics, and L3 row-level data hashing comparisons. You will learn how to deploy automated checks, use hybrid modes with cell-level drilldowns, and scale automated testing across legacy warehouses to catch data pipeline failures instantly.
7:30 AM	Architecting Open Lakehouses with Snowflake Iceberg Tables - Amit Khandelwal	As enterprises embrace multi-engine data ecosystems, open table formats have become a key enabler for interoperability and future-proof data architectures. Apache Iceberg is rapidly emerging as the standard for managing large-scale analytical datasets while eliminating vendor lock-in. This session explores how Snowflake Iceberg Tables combine Snowflake's powerful analytics engine with open storage formats to build flexible, governed, and cost-efficient lakehouse architectures. We'll cover Iceberg fundamentals, Snowflake-managed and externally managed Iceberg Tables, metadata architecture, performance considerations, integration with Spark and other compute engines, and practical decision frameworks to help architects choose between Native and Iceberg Tables.
8:00 AM	Wrap up & Networking

Speakers

Divyansh Saxena

Tredence

Manager and Snowflake Data SuperHero

Rishabh Garg

Hakkoda, an IBM Company

Data Architect

Amit Khandelwal

Kipi.Ai (A Capgemini Company)

Associate Solution Architect

Host

Divyansh Saxena

Tredence

Manager and Snowflake Data SuperHero

Organizer

Divyansh Saxena

Tredence

Manager and Snowflake Data SuperHero

See bio

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Exploring Snowflake: Data Validation, DataStreams and Open Lakehouses

About this event

When

Where

Agenda

Speakers

Divyansh Saxena

Rishabh Garg

Amit Khandelwal

Host

Divyansh Saxena

Organizer

Divyansh Saxena