October 2025
Intermediate to advanced
284 pages
7h
English
Content preview from Building Data Integration Solutions
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Part I. Foundations of Data Integration
Chapter 1, “Introduction to Data Integration”, delves into the fundamentals of data integration, exploring its critical functions within the data life cycle and its alignment with broader organizational goals. By unifying and organizing diverse data sources, data integration ensures that data is accurate, accessible, and consistent, ultimately enhancing decision-making processes. The chapter outlines key concepts and processes involved in data integration and illustrates its importance in transforming raw data into valuable insights and driving business efficiency. Additionally, it provides an overview of related fields, such as data analytics and data governance, and emphasizes the interconnected nature of these disciplines within a robust data management framework.
Chapter 2, “Key Concepts in Data Integration”, introduces key concepts of data integration that form the foundation of effective data management strategies and encompasses a variety of terms and practices essential for data engineers. The chapter highlights the importance of understanding and correctly applying terms related to data properties, data structures, data types, and encodings. The chapter covers the classification of data into structured, unstructured, and semistructured categories and explains their unique characteristics and relevance in the data ecosystem. Additionally, Chapter 2 covers data file formats, metadata, and the context of data usage and how these elements ...
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