Delta Lake: the definitive guide : modern data lakehouse architectures with data lakes

Ready to simplify the process of building data lakehouses and data pipelines at scale? In this practical guide, learn how Delta Lake is helping data engineers, data scientists, and data analysts overcome key data reliability challenges with modern data engineering and management techniques. Authors...

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Beteiligte Personen: Lee, Denny (VerfasserIn), Wentling, Tristen (VerfasserIn), Haines, Scott (VerfasserIn), Babu, Prashanth (VerfasserIn)
Weitere beteiligte Personen: Armbrust, Michael (MitwirkendeR), Brezinski, Dominique (MitwirkendeR)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Sebastopol, CA O'Reilly Media 2025
Ausgabe:First edition.
Schlagwörter:
Links:https://learning.oreilly.com/library/view/-/9781098151935/?ar
Zusammenfassung:Ready to simplify the process of building data lakehouses and data pipelines at scale? In this practical guide, learn how Delta Lake is helping data engineers, data scientists, and data analysts overcome key data reliability challenges with modern data engineering and management techniques. Authors Denny Lee, Tristen Wentling, Scott Haines, and Prashanth Babu (with contributions from Delta Lake maintainer R. Tyler Croy) share expert insights on all things Delta Lake--including how to run batch and streaming jobs concurrently and accelerate the usability of your data. You'll also uncover how ACID transactions bring reliability to data lakehouses at scale. This book helps you: Understand key data reliability challenges and how Delta Lake solves them Explain the critical role of Delta transaction logs as a single source of truth Learn the Delta Lake ecosystem with technologies like Apache Flink, Kafka, and Trino Architect data lakehouses with the medallion architecture Optimize Delta Lake performance with features like deletion vectors and liquid clustering.
Beschreibung:Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on November 25, 2024)
Umfang:1 Online-Ressource (383 Seiten)
ISBN:9781098151904
1098151909