Practical Lakehouse Architecture: Designing and Implementing Modern Data Platforms at Scale, 1st Edition eBook

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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 Start your lakehouse implementation journey and migrate data from existing systems to the lakehouse

This is a digital product.

Practical Lakehouse Architecture: Designing and Implementing Modern Data Platforms at Scale 1st Edition is written by Gaurav Ashok Thalpati and published by O’Reilly Media. The Digital and eTextbook ISBNs for Practical Lakehouse Architecture are 9781098152970, 1098152972 and the print ISBNs are 9781098153014, 1098153014. Additional ISBNs for this eTextbook include 9781098152987.