With the surge in big data and AI, organizations can rapidly create data products. However, the effectiveness of their analytics and machine learning models depends on the data's quality. Delta Lake's open source format offers a robust lakehouse framework over platforms like Amazon S3, ADLS, and GCS.
This practical book shows data engineers, data scientists, and data analysts how to get Delta Lake and its features up and running. The ultimate goal of building data pipelines and applications is to gain insights from data. You'll understand how your storage solution choice determines the robustness and performance of the data pipeline, from raw data to insights.
You'll learn how to:
Use modern data management and data engineering techniques
Understand how ACID transactions bring reliability to data lakes at scale
Run streaming and batch jobs against your data lake concurrently
Execute update, delete, and merge commands against your data lake
Use time travel to roll back and examine previous data versions
Build a streaming data quality pipeline following the medallion architecture
- ISBN10 1098139720
- ISBN13 9781098139728
- Publish Date 27 October 2023 (first published 16 October 2023)
- Publish Status Active
- Publish Country US
- Imprint O'Reilly Media
- Format Paperback (US Trade)
- Pages 250
- Language English