Data Engineering
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Data engineering refers to the process of designing, building, maintaining, and testing data pipelines and systems that allow organizations to store, process, and analyze large amounts of data. It involves a combination of software development and data management skills that is highly needed in data-driven businesses.

It includes activities such as:

  • Identifying data sources and determining how to extract structured data from them
  • Creating data pipelines and systems to load, transform, and store data efficiently.
  • Implementing security and quality measures to assure the data's integrity and reliability
  • Working with data analysts and data scientists to understand their information requirements and help design data-driven solutions.
  • Testing and debugging data pipelines and systems to ensure proper operation.
  • Ongoing maintenance and updating of data pipelines and systems
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