The Definitive Guide to Data Integration
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The Definitive Guide to Data Integration

Unlock the power of data integration to efficiently manage, transform, and analyze data

About the Book

The Definitive Guide to Data Integration is an indispensable resource for navigating the complexities of modern data integration. Focusing on the latest tools, techniques, and best practices, this guide helps you master data integration and unleash the full potential of your data.

This comprehensive guide begins by examining the challenges and key concepts of data integration, such as managing huge volumes of data and dealing with the different data types. You’ll gain a deep understanding of the modern data stack and its architecture, as well as the pivotal role of open-source technologies in shaping the data landscape. Delving into the layers of the modern data stack, you’ll cover data sources, types, storage, integration techniques, transformation, and processing. The book also offers insights into data exposition and APIs, ingestion and storage strategies, data preparation and analysis, workflow management, monitoring, data quality, and governance. Packed with practical use cases, real-world examples, and a glimpse into the future of data integration, The Definitive Guide to Data Integration is an essential resource for data eclectics.

By the end of this book, you’ll have the gained the knowledge and skills needed to optimize your data usage and excel in the ever-evolving world of data.

About the Author

Packt Publishing Ltd
Packt Publishing Ltd

Packt Publishing are an established global technical learning content provider, founded in Birmingham, UK with over twenty years’ experience in delivering premium rich content from ground-breaking authors on a wide range of emerging and popular technologies. Our titles have global relevance our multimedia portfolio includes over 9,000 books, e-books, audiobooks and video courses. www.packtpub.com

Table of Contents

  1. Introduction to our data integration journey
  2. Introducing Data Integration
  3. Architecture and History of Data Integration
  4. Data Sources and Types
  5. Columnar Data Formats and comparisons
  6. Data Storage Technologies and Architectures
  7. Data Ingestion and Storage Strategies
  8. Data Integration Techniques
  9. Data Transformation and Processing
  10. Transformation patterns, cleansing and normalization
  11. Data Exposition and APIs
  12. Data Preparation and Analysis
  13. Workflow Management, Monitoring, and Data Quality
  14. Lineage, Governance, and Compliance
  15. Various Architecture Use Cases
  16. Prospects and Challenges

About the Publisher

This book is published on Leanpub by Packt Publishing Ltd

Packt Publishing are an established global technical learning content provider, founded in Birmingham, UK with over twenty years’ experience in delivering premium rich content from ground-breaking authors on a wide range of emerging and popular technologies. Our titles have global relevance our multimedia portfolio includes over 9,000 books, e-books, audiobooks and video courses. www.packtpub.com

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