Simplify Development by Uniting Transactional and Analytical Data in a Single Platform

ON DEMAND WEBINAR
Duration: 1 hour

In the world of relational databases today, transactional and analytical data are typically stored in separate systems. This is because these types of data require different methods of processing, storing and utilizing data. However, this approach leads to issues such as architectural complexities, data silos and delayed data access.

Snowflake's Unistore addresses these challenges by bringing together analytical and transactional data in a single platform called the AI Data Cloud. As part of the Unistore workload, Snowflake has introduced a feature called hybrid tables, which enables fast, single-row operations and allows customers to build transactional business applications directly on the Snowflake platform. Join this webinar to:

  • Discover how our customers are using hybrid tables to simplify architecture, eliminate data silos, and prevent delayed access to data in practical, real-world scenarios
  • See a live demonstration of how to use hybrid tables to perform fast, point operations and run analytical queries on transactional data without any data movement
  • Learn key capabilities of hybrid tables

SPEAKERS

Prashanth Thandavamurthy
Product Marketing Lead
Snowflake


Ron Stiffler
Principal Architect
Marketwise Solutions


Fredrick Göransson
Principal Data Platform Architect FCTO
Snowflake


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