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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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Future challenges and opportunities of data integration

As we navigate the current landscape of data integration, it’s imperative to cast our gaze forward. The future holds both unprecedented challenges and unique opportunities in this domain. Grasping these nuances will enable us to adapt and innovate, ensuring that we remain at the forefront of data integration advancements.

The evolving landscape of data integration

The data integration ecosystem continues to rapidly evolve as new technologies emerge and architectures shift, such as cloud-native integration, data mesh, and data virtualization. To thrive amidst ongoing change, cross-functional collaboration is crucial to align technical teams and business stakeholders.

Mature data governance and stewardship also grow more critical to ensure quality outcomes as methods change. Forward-looking organizations that build organizational partnerships along with technical capacity will successfully adapt integration approaches...

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