Explore multi-table transactions with LakeFS and Delta Lake in this 45-minute tech talk recording from Databricks. Learn how LakeFS enables collaborative data lake management and CI/CD deployment of data, while Delta Lake facilitates building a Lakehouse architecture on various storage systems. Discover the integration of these technologies to simplify multi-table pipelines. Gain insights from speakers Paul Singman of Treeverse and Denny Lee of Databricks as they discuss typical data lake projects, challenges, and solutions. Follow along with demonstrations of the LakeFS UI, repository setup, DataFrame operations, and merging techniques. Understand concepts like single table consistency, validation notebooks, Git integration, and concurrent operations. Enhance your knowledge of modern data lake management and Lakehouse architectures through this informative presentation.
Overview
Syllabus
Intro
Presentation
Typical Data Lake Project
Data Lake Problems
Single Table Consistency
MultiTable Transactions
Demo
LakeFS UI
Demo Overview
Demo Repository
DataFrame
Second Table
Commit
Merge
Merge Failed
Retry Merge
Validation Notebook
Questions
Git Integration
Concurrent Operations
Summary
Taught by
Databricks
