Fundamentals of Data Engineering
Xebia
JANUARY 19, 2023
This means knowing the trade-offs with design patterns, technologies, and tools in source systems, ingestion, storage, transformation, and serving data. Nevertheless, the low-level implementation of the early days, circa 2000 – 2010, has been abstracted away. This abstraction continues today.
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