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 in 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, governance, and deployment that are critical in any data environment regardless of the underlying technology.This book will help you:- Assess data engineering problems using an end-to-end data 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 lifecycleWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Fundamentals of Data Engineering: Plan and Build Robust Data Systems. To get started finding Fundamentals of Data Engineering: Plan and Build Robust Data Systems, you are right to find our website which has a comprehensive collection of manuals listed. Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
426
Format
PDF, EPUB & Kindle Edition
Publisher
O'Reilly
Release
—
ISBN
1098108302
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
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 in 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, governance, and deployment that are critical in any data environment regardless of the underlying technology.This book will help you:- Assess data engineering problems using an end-to-end data 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 lifecycleWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Fundamentals of Data Engineering: Plan and Build Robust Data Systems. To get started finding Fundamentals of Data Engineering: Plan and Build Robust Data Systems, you are right to find our website which has a comprehensive collection of manuals listed. Our library is the biggest of these that have literally hundreds of thousands of different products represented.