Content Comparison

This Academy course is in development. Availability is expected in Q1-2023.

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)
• Time to Complete: TBD minutes
• Registration Options: Online
• Link to on-line 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
• Creation of data products from the analytics layer
• DataOps and the cloud as a way to focus on data and less on infrastructure

Who Should Enroll

• FTE data folks in an education organization who are enrolled in the Analytics Engineering Fundamentals Pathway

• College students or LEA team members who desire to develop Analytics Engineering expertise

Course Outcome

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

• This introductory course provides essential context to begin a hands-on learning journey using Analytics Engineering tools and Ed-Fi technology

Learning Objectives

The learning objectives for this course are: 

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

Course

Sections

• Introduction
• Lifecycle
• Wrap up