Fundamentals of Data Engineering: Plan and Build Robust Data Systems

$79.99

363 in stock

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you’ll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.

Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You’ll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, and governance that are critical in any data environment regardless of the underlying technology.

This book will help you:

    • Get a concise overview of the entire data engineering landscape
    • Assess data engineering problems using an end-to-end framework of best practices
    • Cut through marketing hype when choosing data technologies, architecture, and processes
    • Use the data engineering lifecycle to design and build a robust architecture
    • Incorporate data governance and security across the data engineering lifecycle

Author: Joe Reis, Matt Housley
Binding Type: Paperback
Publisher: O’Reilly Media
Published: 07/26/2022
Pages: 447
Weight: 1.57lbs
Size: 9.19h x 7.00w x 0.91d
ISBN: 9781098108304

363 in stock

More Great AI Books

Ready to Lead the AI Revolution?

Don’t just keep up-get ahead. Break the scrolling habit.
Join The AI Book Club Today.

Sign up now and get 15% off your first box, plus exclusive access to our members-only content. Your journey to becoming an AI expert starts here—don’t miss out on the future.