Data Engineering Nanodegree
Udacity
Summary
Overview
Data Engineering
Learn to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets. At the end of the program, you’ll combine your new skills by completing a capstone project.
Description
- Data Modeling
Learn to create relational and NoSQL data models to fit the diverse needs of data consumers. Use ETL to build databases in PostgreSQL and Apache Cassandra.
DATA MODELING WITH POSTGRESDATA MODELING WITH APACHE CASSANDRA - Cloud Data Warehouses
Sharpen your data warehousing skills and deepen your understanding of data infrastructure. Create cloud-based data warehouses on Amazon Web Services (AWS).
BUILD A CLOUD DATA WAREHOUSE - Spark and Data Lakes
Understand the big data ecosystem and how to use Spark to work with massive datasets. Store big data in a data lake and query it with Spark.
BUILD A DATA LAKE - Data Pipelines with Airflow
Schedule, automate, and monitor data pipelines using Apache Airflow. Run data quality checks, track data lineage, and work with data pipelines in production.
DATA PIPELINES WITH AIRFLOW - Capstone Project
Combine what you've learned throughout the program to build your own data engineering portfolio project.
DATA ENGINEERING CAPSTONE
Requirements
Intermediate Python programming knowledge, of the sort gained through the Programming for Data Science Nanodegree program, other introductory programming courses or programs, or additional real-world software development experience.
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