Do you work on streaming pipelines, Change Data Capture (CDC) use cases, or manage incremental updates for your pipelines? Are you building your architecture for current batch analytical needs but also future streaming use cases? We got you.
Dynamic Tables is the new default for change data and incremental processing. 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 overview of Dynamic tables and discuss which use cases and situations they are best aligned to. The result will be a better understanding of the capabilities available and where to position dynamic tables and identify opportunities to migrate to dynamic tables.
Join this session to learn:
- What Are Dynamic Tables
- How Do You Use Them
- Use-Cases Implemented Using Dynamic Tables
- Dynamic Tables for migration opportunities
- Tools/Accelerators: Dynamic Table Notebooks
Speakers
Rahul Reddy
Data Cloud Architect, SI Partners, Snowflake
Hanbing Yan
Data Cloud Architect, SI Partners, Snowflake
Watch Now