March 2022
Beginner to intermediate
206 pages
4h 21m
English
Overview
"Data Lakehouse in Action" provides a comprehensive exploration of the Data Lakehouse architecture, a modern solution for scalable and effective large-scale analytics. This book guides you through understanding the principles and components of the architecture, and its implementation using cloud platforms like Azure. Learn the practical techniques for designing robust systems tailored to organizational needs and maturity.
What this Book will help me do
- Understand the evolution and need for modern data architecture patterns like Data Lakehouse.
- Learn how to design systems for data ingestion, storage, processing, and serving in a Data Lakehouse.
- Develop best practices for data governance and security in the Data Lakehouse architecture.
- Discover various analytics workflows enabled by the Data Lakehouse, including real-time and batch approaches.
- Implement practical Data Lakehouse patterns on a cloud platform, and integrate them with macro-patterns such as Data Mesh.
Author(s)
Pradeep Menon is a seasoned data architect and engineer with extensive experience implementing data analytics solutions for leading companies. With a penchant for simplifying complex architectures, Pradeep has authored several technical publications and frequently shares his expertise at industry conferences. His hands-on approach and passion for teaching shine through in his practical guides.
Who is it for?
This book is ideal for data professionals including architects, engineers, and data strategists eager to enhance their knowledge in modern analytics platforms. If you have a basic understanding of data architecture and are curious about implementing systems governed by the Data Lakehouse paradigm, this book is for you. It bridges foundational concepts with advanced practices, making it suitable for learners aiming to contribute effectively to their organization's analytics efforts.
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