Oreilly.-.Apache.Hudi.The.Definitive.Guide.Building.Robust.Open.And.High.Performing.Data.Lakehouses.2025.Retail.EPUB.eBook-BitBook
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■▀▀▀ ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀ ░ BitBook Presents ░ ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀■
Apache Hudi: The Definitive Guide - Building Robust, Open, And High-Performing
Data Lakehouses
by Shiyan Xu, Prashant Wason, Bhavani Sudha Saktheeswaran, Rebecca Bilbro
(c) O'Reilly Media
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DATE: 21-05-2026 ▓ SIZE: 7.79 MB ▓ PAGES: n/a
FORMAT: EPUB ▒ DISKS: 1x50.00MB ▒ EDITION: n/a
LANGUAGE: English ░ ISBN: 9781098173838 ░ REMOVED: DRM
https://www.worldcat.org/search?q=bn%3A9781098173838&fq=x0%3Abook+%2B+x4%3Adigit
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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. This book helps you: Understand the need for transactional data
lakehouses and the challenges associated with building them Get up to speed
with Apache Hudi and learn how it makes building data lakehouses easy Explore
data ecosystem support provided by Apache Hudi for popular data sources and
query engines Perform different write and read operations on Apache Hudi
tables and effectively use them for various use cases, including batch and
stream applications Implement data engineering techniques to operate and
manage Apache Hudi tables Apply different storage techniques and
considerations, such as indexing and clustering to maximize your lakehouse
performance Build end-to-end incremental data pipelines using Apache Hudi for
faster ingestion and fresher analytics
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| Path | Size |
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| bb-apach.nfo | 9,16 KB |
| bbeirb4a.zip | 7,80 MB |