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LinkedIn Learning

Data Engineering Foundations

via LinkedIn Learning

Overview

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

Harshit Tyagi

Reviews

4.7 rating at LinkedIn Learning based on 3579 ratings

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