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:
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