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Data Engineer

Accelerate your Data Engineering career: Discover best practices, and learn the latest trends.

Data engineering is the process of discovering, designing, and building the data infrastructure to help data owners and data users use and analyze raw data from multiple sources and formats. This allows businesses to use the data to make critical business decisions. You can revisit the definition of data engineering here. If you want to dig a little deep we recommend taking a look at the four fundamentals of data engineering:

  1. Data discovery and lineage
  2. Data ingestion
  3. Data processing
  4. Data quality

Explore the different components of Data Engineering and stay up to date with the latest trends, technologies, troubleshooting techniques, and best practices.



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