Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

LinkedIn Learning

Data Engineering Foundations

via LinkedIn Learning

Write review
Boot.dev Ad

Stuck in Tutorial Hell? Learn Backend Dev the Right Way

Learn More → DataCamp Ad

Power BI Fundamentals - Create visualizations and dashboards from scratch

Learn More →

Overview

Build a Learning Habit
Download Class Central's free printable study calendar
Download for Free
Learn the key facets of data engineering, from its place in the data science realm, to the specific tasks and skills every data engineer should possess.

Syllabus

Introduction
  • What is data engineering?
1. Introduction to Data Engineering
  • Introduction to data engineering
  • Data engineer vs. data scientist
  • Essential tools for data engineering
2. Databases and Dataframes
  • Intro to databases and their types
  • Understanding database schema
  • Distributive computing
3. Data Engineering Tools
  • MapReduce and Hadoop
  • Hive
  • Spark
  • Airflow
4. ETL Pipelines
  • Sources of data extraction
  • Data extraction from a PostgreSQL database
  • Challenge: Data extraction
  • Solution: Data extraction
  • Transforming data
  • Challenge: Transforming data
  • Solution: Transforming data
  • Loading data into a DB
  • Challenge: Loading data
  • Solution: Loading data
  • Scheduling ETL pipeline using Airflow
Conclusion
  • Next steps

Taught by

Ben Sullins

Reviews

4.6 rating at LinkedIn Learning based on 4556 ratings

Start your review of Data Engineering Foundations

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.