Ed-Fi 141 - Data Engineering Lifecycle

Course Information

• Course Title: Data Engineering Lifecycle
• Course Code: 141
• Tracks: Technical Track
• Series: Fundamentals of the Ed-Fi Solution (100 Series)
• Course Prerequisites: 
  • Ed-Fi 101 - Welcome to Ed-Fi
  • Ed-Fi 102 - The Ed-Fi Technology Suite
• Learning Delivery Mode: Self-Guided Course (Online)
  • Text
• 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