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Data Engineering is a crucial role in modern business, enabling organizations to make data-driven decisions and gain competitive advantages.
Understanding of the essential computer science concepts, such as Data Structures, Algorithms, and Complexity Analysis, is vital for becoming proficient in Data Engineering.
Both relational and non-relational databases have their unique strengths and limitations, and the choice between them depends on the specific requirements of a project.
Data modeling, ETL (Extract, Transform, Load) processes, and data warehousing are critical components of the data engineering workflow.
The book provides a comprehensive introduction to Big...
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