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The Definitive Guide to Data Integration

The Definitive Guide to Data Integration

By : BONNEFOY, CHAIZE, Raphaël MANSUY, Mehdi TAZI
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The Definitive Guide to Data Integration

The Definitive Guide to Data Integration

By: BONNEFOY, CHAIZE, Raphaël MANSUY, Mehdi TAZI

Overview of this 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.
Table of Contents (19 chapters)
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The impact of open source on data integration and analytics

The widespread accessibility of data processing and analysis has been largely driven by the growth of open source technologies. As more powerful tools and platforms become available to a broader user base, data-driven decision-making has transformed various sectors. The open source movement allows individuals and organizations to utilize sophisticated data processing and analytics techniques without requiring substantial financial or technical resources.

This widespread accessibility has created a level playing field for businesses of all sizes, enabling them to tap into the full potential of their data. With access to cutting-edge tools and technologies, organizations can now make well-informed decisions, spot patterns and trends, and extract valuable insights from their data. The availability of open source resources has ultimately contributed to the increased adoption of data integration and analytics solutions, as well...

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