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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

A focus on APIs and strategy

The critical role of APIs in the realm of data integration is a subject of increasing importance. APIs, in essence, are sets of instructions or rules that enable different software applications to communicate and exchange data. They provide a structured method for diverse systems to interconnect, fostering a higher degree of interoperability among various software components. By offering a clear and consistent means for data exchange, APIs act as critical facilitators for seamless and efficient data integration.

Data integration itself is an essential process within the wider context of data management. It involves combining data from different sources into a unified, coherent view. This process is crucial for numerous tasks, from simple data analysis to more complex operations such as business intelligence, machine learning, and decision support systems. As the amount and variety of data grows, the importance of robust data integration strategies cannot...

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