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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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Strategy and the choice of transformations

In the vast field of data analysis, having a sound data transformation strategy is vital. Such a strategy streamlines the process of converting raw data into a more useful and appropriate format for analysis and decision-making. This section will delve into how to develop a data transformation strategy, focusing on understanding data requirements, assessing data quality and performance, and aligning with analytics and reporting goals.

Developing a data transformation strategy

Embarking upon the terrain of data transformation strategy, it’s analogous to the work of an architect. Rather than building physical structures, however, we are curating the trajectory and architecture of data. It’s indeed an exhilarating task.

Understanding your data requirements

Recognizing your data requirements is the first and foremost step in crafting a data transformation strategy. Imagine you’re a detective, and the data is your...

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