Kernel, Catalog, Action! Reimagining our Delta-Spark Connector With DSv2
Overview
Experience | In Person |
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Type | Lightning Talk |
Track | Data Lakehouse Architecture and Implementation |
Industry | Enterprise Technology |
Technologies | Apache Spark, Delta Lake |
Skill Level | Intermediate |
Duration | 20 min |
Delta Lake is redesigning its Spark connector through the combination of three key technologies: First, we're updating our Spark APIs to DSv2 to achieve deeper catalog integration and improved integration with the Spark optimizer. Second, we're fully integrating on top of Delta Kernel to take advantage of its simplified abstraction of Delta protocol complexities, accelerating feature adoption and improving maintainability. Third, we are transforming Delta to become a catalog-aware lakehouse format with Catalog Commits, enabling more efficient metadata management, governance and query performance.
Join us to explore how we're advancing Delta Lake's architecture, pushing the boundaries of metadata management and creating a more intelligent, performant data lakehouse platform.
Session Speakers
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Scott Sandre
/Sr Software Engineer
Databricks