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Data Pipelines Pocket Reference Moving and Processing Data for Analytics (James Densmore) (z-lib.org).pdf
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Data
Pipelines
Pocket
Reference
Moving and
Processing Data
for Analytics
James Densmore
James Densmore
Data Pipelines
Pocket Reference
Moving and Processing
Data for Analytics
978-1-492-08783-0
[LSI]
Data Pipelines Pocket Reference
by James Densmore
Copyright © 2021 James Densmore. All rights reserved.
Printed in the United States of America.
Published by O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebasto‐
pol, CA 95472.
O’Reilly books may be purchased for educational, business, or sales promo‐
tional use. Online editions are also available for most titles (http://oreilly.com).
For more information, contact our corporate/institutional sales department:
800-998-9938 or corporate@oreilly.com.
Acquisitions Editor: Jessica Haberman
Developmental Editor: Corbin Collins
Production Editor: Katherine Tozer
Copyeditor: Kim Wimpsett
Proofreader: Abby Wheeler
Indexer: Ellen Troutman
Interior Designer: David Futato
Cover Designer: Karen Montgomery
Illustrator: Kate Dullea
March 2021: First Edition
Revision History for the First Edition
2021-02-10: First Release
See http://oreilly.com/catalog/errata.csp?isbn=9781492087830 for release
details.
The O’Reilly logo is a registered trademark of O’Reilly Media, Inc. Data Pipe‐
lines Pocket Reference, the cover image, and related trade dress are trademarks
of O’Reilly Media, Inc.
The views expressed in this work are those of the author, and do not represent
the publisher’s views. While the publisher and the author have used good faith
efforts to ensure that the information and instructions contained in this work
are accurate, the publisher and the author disclaim all responsibility for errors
or omissions, including without limitation responsibility for damages result‐
ing from the use of or reliance on this work. Use of the information and
instructions contained in this work is at your own risk. If any code samples or
other technology this work contains or describes is subject to open source
licenses or the intellectual property rights of others, it is your responsibility to
ensure that your use thereof complies with such licenses and/or rights.
Table of Contents
Preface vii
Chapter 1: Introduction to Data Pipelines 1
What Are Data Pipelines? 1
Who Builds Data Pipelines? 2
Why Build Data Pipelines? 4
How Are Pipelines Built? 5
Chapter 2: A Modern Data Infrastructure 7
Diversity of Data Sources 7
Cloud Data Warehouses and Data Lakes 14
Data Ingestion Tools 15
Data Transformation and Modeling Tools 16
Workow Orchestration Platforms 17
Customizing Your Data Infrastructure 20
Chapter 3: Common Data Pipeline Patterns 21
ETL and ELT 21
The Emergence of ELT over ETL 23
EtLT Subpattern 26
iii
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