Key Facts from "Fundamentals of Data Engineering"
- 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...