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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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Prospects of data integration in the current data stack

The horizon of data integration is in constant flux, shifting and reshaping as organizations embrace novel architectures, infrastructures, and methodologies in their quest for enhanced data accessibility. This transformative journey is punctuated by the emergence of a myriad of technologies, spanning realms such as the cloud, on-premises infrastructures, hybrid configurations, multi-cloud setups, and edge environments. These advancements, while promising, also introduce layers of complexity to the task of integration. This challenge is further amplified by the exponential growth in data volumes, velocities, and varieties, and the ever-expanding roster of use cases, all of which place escalating demands on data integration capabilities.

In this dynamic milieu, the call of the hour is for integration platforms to evolve. They must not only become more adaptable, scalable, and astute but also broaden their scope. The journey of...

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