Session

Kernel, Catalog, Action! Reimagining our Delta-Spark Connector With DSv2

Overview

ExperienceIn Person
TypeLightning Talk
TrackData Lakehouse Architecture and Implementation
IndustryEnterprise Technology
TechnologiesApache Spark, Delta Lake
Skill LevelIntermediate
Duration20 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

IMAGE COMING SOON

Scott Sandre

/Sr Software Engineer
Databricks