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Ed-Fi 141 - Data Engineering Lifecycle

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Created by Ann Su (Unlicensed) , last modified on Jan 30, 2023

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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:
- 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 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
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

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