Dynamic Tables is the new default for change data and incremental processing. Since its preview, we’ve seen thousands of customers adopting Dynamic Tables to process streaming data, perform CDC and benefit from automated orchestration.
In this session, we will share the latest features and innovations powering Snowflake’s declarative data pipelines that break the boundaries between batch and streaming pipelines.
Join this session to learn:
- Key benefits and ideal use cases
- Latest performance improvements
- Learnings from Dynamic Tables preview
- Best practices between incremental refresh and full refresh
- New capabilities of Dynamic Tables and limit increases
Speakers
Shiyi Gu
Senior Product Marketing Manager
Snowflake
Saras Nowak
Senior Product Manager
Snowflake