ENGLISH

Practical Lakehouse Architecture: Designing and Implementing Modern Data Platforms at Scale

By Gaurav Ashok Thalpati

Book information

Publisher
Inc., O’Reilly Media
Year
2024
ISBN
9781098153014
Language
english
Format
PDF
Filesize
7 MB (6835978 bytes)
Pages
283\286
Orientation
portrait
Paginated
yes
Scanned
no
Time added
2024-10-28 12:00:11

Description

This concise yet comprehensive guide explains how to adopt a data lakehouse architecture to implement modern data platforms. It reviews the design considerations, challenges, and best practices for implementing a lakehouse and provides key insights into the ways that using a lakehouse can impact your data platform, from managing structured and unstructured data and supporting BI and AI/ML use cases to enabling more rigorous data governance and security measures. Practical Lakehouse Architecture shows you how to Understand key lakehouse concepts and features like transaction support, time travel, and schema evolution Understand the differences between traditional and lakehouse data architectures Differentiate between various file formats and table formats Design lakehouse architecture layers for storage, compute, metadata management, and data consumption Implement data governance and data security within the platform Evaluate technologies and decide on the best technology stack to implement the lakehouse for your use case Make critical design decisions and address practical challenges to build a future-ready data platform

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