epub | 13.9 MB | English | Isbn:9781098153014 | Author: Gaurav Ashok Thalpati | Year: 2024

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

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

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