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Delta Lake: The Definitive Guide
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Delta Lake: The Definitive Guide
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Delta Lake: The Definitive Guide
1. Basic Operations on Delta Lakes
What is Delta Lake?
How to start using Delta Lake
Using Delta Lake via local Spark shells
Leveraging GitHub or Maven
Using Databricks Community Edition
Basic operations
Creating your first Delta table
Unpacking the Transaction Log
What Is the Delta Lake Transaction Log?
How Does the Transaction Log Work?
Dealing With Multiple Concurrent Reads and Writes
Other Use Cases
Diving further into the transaction log
Table Utilities
Review table history
Vacuum History
Retrieve Delta table details
Generate a manifest file
Convert a Parquet table to a Delta table
Convert a Delta table to a Parquet table
Restore a table version
Summary
2. Time Travel with Delta Lake
Introduction
Under the hood of a Delta Table
The Delta Directory
Delta Logs Directory
The files of a Delta table
Time Travel
Common Challenges with Changing Data
Working with Time Travel
Time travel use cases
Time travel considerations
Summary
3. Continuous Applications with Delta Lake
Make All Your Streams Come True
Spark Streaming Was Built to Unify Batch and Streaming
Exactly-Once Semantics
Putting Some Structure Around Streaming
Streaming with Delta
Delta as a Stream Source
Ignore Updates and Deletes
Delta Table as a Sink
Appendix
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