Ed-Fi 141
Overview of the Data Engineering Lifecycle
Not enrolled
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 for analytics
- 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