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Course Information

  • Course Title: Data Engineering Lifecycle
  • Course Code: 141
  • Tracks: Technical Track
  • Series: Fundamentals of the Ed-Fi Solution (100 Series)
  • Course Prerequisites: 
  • Learning Delivery Mode: Self-Guided Course (Online)
    • Text
  • Time to Complete: TBD minutes
  • Registration Options: Online
  • Link to online course

Course Overview

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 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

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 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.

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 Sections

  • Introduction
  • Lifecycle
  • Wrap up


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