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Description 

This course focuses on the data engineering lifecycle. This includes following data through its many stages:

  • Generation of data in a source system
  • Vendor-owned push of data from the source system to the Ed-Fi API
  • Extract and load of Ed-Fi API and non Ed-Fi data sources into a data lake (storage layer)
  • Transformation of raw data into facts and dims using dimensional modeling (star schema) as a design process
  • Creation of data products from the analytics layer
  • DataOps and the cloud as a way to focus more on data and less on infrastructure

Learning Objectives

The learning objectives for this course are: 

  • Understand the data engineering lifecycle
  • Understand the core tools and technologies used in the lifecycle, including Ed-Fi technology

Course Outcome 

By the end of this course, Academy students will be able to: 

  • Apply the lifecycle in their own work to be able to visualize how data moves from source system to data product.

Who Should Enroll 

  • Students who are enrolled in the Analytics Engineering Pathway
  • College students or non-K12 data people who desire to develop K12-specific engineering expertise

Course Content

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