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Fundamentals of Data Engineering: Plan and Build Robust Data Systems

AUTHOR Housley, Matt; Reis, Joe
PUBLISHER O'Reilly Media (07/26/2022)
PRODUCT TYPE Paperback (Paperback)

Description

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
Show More
Product Format
Product Details
ISBN-13: 9781098108304
ISBN-10: 1098108302
Binding: Paperback or Softback (Trade Paperback (Us))
Content Language: English
More Product Details
Page Count: 446
Carton Quantity: 9
Product Dimensions: 7.00 x 0.91 x 9.19 inches
Weight: 1.57 pound(s)
Feature Codes: Price on Product
Country of Origin: US
Subject Information
BISAC Categories
Computers | Data Science - Data Analytics
Computers | Business & Productivity Software - Databases
Computers | Data Science - Data Modeling & Design
Descriptions, Reviews, Etc.
publisher marketing

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
Show More
List Price $69.99
Your Price  $48.29
Paperback