Certainly! Here are two widely recognized sources in the field of Data Engineering that can serve as a bibliography for further reading:
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Book:
- Title: "Designing Data-Intensive Applications"
- Author: Martin Kleppmann
- Publisher: O'Reilly Media
- Year: 2017
- Description: This book provides a comprehensive overview of the principles and practices of building scalable and maintainable data systems. It covers data storage, retrieval, and processing systems, and is highly regarded in the data engineering community.
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Online Resource:
- Title: "The Data Engineering Cookbook"
- Author: Andreas Kretz
- Link: https://github.com/andreaskretz/data-engineering-cookbook
- Description: This GitHub repository is a free resource that contains a wealth of information on data engineering topics, including ETL processes, data warehousing, and big data technologies, along with practical examples and best practices.
These sources provide valuable insights into data engineering foundations, technologies, and methodologies.
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