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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)
- Time to Complete: TBD minutes
- Registration Options: Online
- Link to on-line 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