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The Definitive Guide to Data Integration

You're reading from  The Definitive Guide to Data Integration

Product type Book
Published in Mar 2024
Publisher Packt
ISBN-13 9781837631919
Pages 490 pages
Edition 1st Edition
Languages
Authors (4):
Pierre-Yves BONNEFOY Pierre-Yves BONNEFOY
Profile icon Pierre-Yves BONNEFOY
Emeric CHAIZE Emeric CHAIZE
Profile icon Emeric CHAIZE
Raphaël MANSUY Raphaël MANSUY
Profile icon Raphaël MANSUY
Mehdi TAZI Mehdi TAZI
Profile icon Mehdi TAZI
View More author details

Table of Contents (19) Chapters

Preface Chapter 1: Introduction to Our Data Integration Journey Chapter 2: Introducing Data Integration Chapter 3: Architecture and History of Data Integration Chapter 4: Data Sources and Types Chapter 5: Columnar Data Formats and Comparisons Chapter 6: Data Storage Technologies and Architectures Chapter 7: Data Ingestion and Storage Strategies Chapter 8: Data Integration Techniques Chapter 9: Data Transformation and Processing Chapter 10: Transformation Patterns, Cleansing, and Normalization Chapter 11: Data Exposition and APIs Chapter 12: Data Preparation and Analysis Chapter 13: Workflow Management, Monitoring, and Data Quality Chapter 14: Lineage, Governance, and Compliance Chapter 15: Various Architecture Use Cases Chapter 16: Prospects and Challenges Index Other Books You May Enjoy

Understanding the data sources: Relational databases, NoSQL, flat files, APIs, and more

Understanding multiple data sources and their properties is essential for integrating data from many sources. Relational databases, NoSQL databases, flat files, streams, and APIs are all common data sources. Each data source has unique features and use cases, and knowing their differences is essential for successful data integration.

In this section, we will go through various data sources, their function in data integration, and their benefits and drawbacks. We will also explore the importance of data sources in today’s data stack architecture, as well as the influence of data integration on data quality, governance, and compliance. By the end of this part, readers should have a thorough understanding of the value of data sources in data integration and how to use them for improved insights and decisions.

In today’s data landscape, a variety of data sources are used to store...

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