Using Delta-rs and Delta-Kernel-rs to Serve CDC Feeds
Overview
Experience | In Person |
---|---|
Type | Breakout |
Track | Data Engineering and Streaming |
Industry | Enterprise Technology, Professional Services |
Technologies | Delta Lake, LakeFlow, Unity Catalog |
Skill Level | Intermediate |
Duration | 40 min |
Change data feeds are a common tool for synchronizing changes between tables and performing data processing in a scalable fashion. Serverless architectures offer a compelling solution for organizations looking to avoid the complexity of managing infrastructure. But how can you bring CDFs into a serverless environment? In this session, we'll explore how to integrate Change Data Feeds into serverless architectures using Delta-rs and Delta-kernel-rs—open-source projects that allow you to read Delta tables and their change data feeds in Rust or Python. We’ll demonstrate how to use these tools with Lakestore’s serverless platform to easily stream and process changes.
You’ll learn how to:
- Leverage Delta tables and CDFs in serverless environments
- Utilize Databricks and Unity Catalog without needing Apache Spark
Session Speakers
Stephen Carman
/Senior Resident Solutions Architect
Databricks
Oussama Saoudi
/Software Engineer
Databricks