Delta Lake is an open-source storage layer that brings ACID transactions to Apache Spark™ and big data workloads. Built on open standards, Delta Lake employs co-designed compute and storage and is compatible with Spark APIs. It powers high data reliability and query performance to support big data use cases, from batch and streaming ingests, fast interactive queries to machine learning.In this talk, Delta Lake committers, Shixiong Zhu and Rahul Mahadev from Databricks Inc., will introduce the new features and major improvements in Delta Lake 1.0.0 release
Rahul Mahadev is a Software Engineer at Databricks. He is a committer to the Delta Lake project. Rahul received his MS in Computer Science from the University of Illinois at Urbana-Champaign.
Ryan is an Apache Spark PMC Member and Committer