Keeping transactional and analytical data in separate systems results in data silos, slow data movement between systems, and delays in accessing the data. 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
Ron Stiffler
Principal Architect at Marketwise Solutions
Fredrick Göransson
Principal Data Platform Architect FCTO
Agenda
Intro to Unistore
Challenges of traditional data architectures with siloed transactional and analytical data and how Unistore is solving it
Real World Use Case
Learn how our customers are leveraging Hybrid Tables to simplify their data architecture and eliminating the need for data pipelines (ETL)
Live Demo
See live demo of how to use Hybrid Tables to perform fast, point operations and run analytical queries on transactional data, without any data movement
Q&A
Got questions? We’ll answer!