Practical Lakehouse Architecture: Designing and Implementing Modern Data Platforms at Scale by Gaurav Ashok Thalpati
English | August 27th, 2024 | ISBN: 1098153014 | 283 pages | True EPUB (Retail Copy) | 6.07 MB
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.
Free Download 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
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