Data Engineering
Design scalable data pipelines and ETL workflows for analytics systems.
4.5 (600 ratings)•120 students
What you'll learn
- ✔Data Engineering Overview
- ✔SQL & NoSQL Databases
- ✔ETL Pipelines
- ✔Big Data with Spark
- ✔Airflow
- ✔Cloud Data Platforms
- ✔Pipeline Project
Course content
7 sections • 60 lectures • 15h total length
Section 1: Data Engineering Overview1 lecture • 1hr
Section 2: SQL & NoSQL Databases1 lecture • 1hr
Section 3: ETL Pipelines1 lecture • 1hr
Section 4: Big Data with Spark1 lecture • 1hr
Section 5: Airflow1 lecture • 1hr
Section 6: Cloud Data Platforms1 lecture • 1hr
Section 7: Pipeline Project1 lecture • 1hr
Requirements
- Basic programming skills
- Familiarity with databases
- Cloud computing basics
Description
This course teaches modern data engineering tools including Spark, Airflow, and cloud-based data platforms.
Instructor
Sarah Echeme Thompson
Sarah Echeme Thompson is a senior data engineer at a leading tech company with expertise in big data technologies.
This course includes:
- 15h on-demand video
- Full lifetime access
- Certificate of completion