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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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Summary

In this chapter, we delved into the critical role data sources play in operations and analysis, providing valuable, timely, and reliable information to the right individuals when required. Different data sources, including relational databases, NoSQL databases, flat files, and APIs, were highlighted, with each being evaluated for its unique characteristics and best use cases.

The chapter then explored various data types and structures, aiming to enhance the reader’s capability to handle data more effectively and adjust their strategies according to the nature of the data. Following this, we examined common data formats, such as CSV, JSON, and XML, discussing their unique representation of data, along with their respective advantages and challenges. This knowledge equips you to make informed decisions about which format to use in specific scenarios.

In addition, we briefly touched upon the domain of columnar data formats, highlighting their advantages, particularly...

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