Apache Hudi: the definitive guide : building robust, open, and high-performing data lakehouses

Overcome challenges in building transactional guarantees on rapidly changing data by using Apache Hudi. With this practical guide, data engineers, data architects, and software architects will discover how to seamlessly build an interoperable lakehouse from disparate data sources and deliver faster...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Beteiligte Personen: Xu, Shiyan (VerfasserIn), Wason, Prashant (VerfasserIn), Saktheeswaran, Bhavani Sudha (VerfasserIn), Bilbro, Rebecca (VerfasserIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Sebastopol, CA O'Reilly Media, Inc. 2025
Ausgabe:First edition.
Schlagwörter:
Links:https://learning.oreilly.com/library/view/-/9781098173821/?ar
Zusammenfassung:Overcome challenges in building transactional guarantees on rapidly changing data by using Apache Hudi. With this practical guide, data engineers, data architects, and software architects will discover how to seamlessly build an interoperable lakehouse from disparate data sources and deliver faster insights using their query engine of choice. Authors Shiyan Xu, Prashant Wason, Sudha Saktheeswaran, and Rebecca Bilbro provide practical examples and insights to help you unlock the full potential of data lakehouses for different levels of analytics, from batch to interactive to streaming. You'll also learn how to evaluate storage choices and leverage built-in automated table optimizations to build, maintain, and operate production data applications.
Umfang:1 Online-Ressource (350 Seiten)