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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

Data integration for cloud-based data analysis

Cloud-based data analysis has revolutionized the way organizations handle and extract insights from their data. In this section, we will explore the fundamentals of cloud-based data analysis and its significance in today’s digital landscape.

Cloud-based data analysis refers to the process of leveraging cloud computing resources and services to analyze large volumes of data in a cost-effective and scalable manner. The cloud offers a flexible and on-demand infrastructure that enables organizations to store, process, and analyze data without the need for extensive on-premises infrastructure.

By adopting cloud-based data analysis, organizations can benefit from various advantages such as scalability, flexibility, and cost optimization.

As with any technology, cloud-based data analysis comes with its own set of challenges, such as security, latency, or compliance and regulatory challenges.

Advantages of cloud-based data integration...

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