Data Engineering Fundamentals

Build strong fundamentals in data engineering and progressively develop the skills needed to design, implement, and optimize scalable data pipelines and systems.

Created Byeulerfoldeulerfold
4 weeks
22 Learners
Apr 12
to start learning
Curriculum

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W1

Week 1: Data Fundamentals, SQL, and Command Line

By the end of this module you will be able to model data, write complex SQL queries to extract insights, and navigate your system using the command line.

3 videos31m
3 readings
3 topics
1 homework
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Topics

1.1
Data Modeling & Warehousing Concepts
What is ETL | What is Data Warehouse | OLTP vs OLAP
8 minutes
1.2
Advanced SQL
SQL WITH Clause | Clearly Explained | CTEs vs Subqueries vs Temp Tables | Recursive CTEs
13 minutes
1.3
Command Line (Bash)
60 Linux Commands you NEED to know (in 10 minutes)
10 minutes
W2

Week 2: Python for Data Engineering and ETL Principles

By the end of this module you will be able to write Python scripts to extract, transform, and load data between different sources and destinations.

3 videos61m
3 readings
3 topics
1 homework
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W3

Week 3: Data Orchestration and Cloud Data Warehouses

By the end of this module you will be able to define, schedule, and monitor a data pipeline using Apache Airflow and load data into a cloud data warehouse.

3 videos92m
3 readings
3 topics
1 homework
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W4

Week 4: Introduction to Big Data Technologies

By the end of this module you will be able to understand the core concepts of distributed computing with Spark and the architecture of a data lake.

3 videos81m
3 readings
3 topics
1 homework
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