Data Engineering with AWS Nanodegree

Overview

The  Data Engineering with AWS Nanodegree program at Udacity is a comprehensive data engineering course designed to teach you how to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets. Skills covered include Database fundamentals, CassandraDB, PostgreSQL, and database normalization. 

You'll learn from industry experts like Sean Murdock, Matt Swaffer, Ben Goldberg, Amanda Moran, and Valerie Scarlata, gaining hands-on experience with real-world projects. At Udacity, we offer an empowering learning environment where you gain practical skills through our data engineering training, reinforced with top-tier support and expert feedback. 

This course will equip you with the knowledge and tools to excel in the field of data engineering.

Nanodegree Skills

• Data Modeling

Database fundamentals • Cassandradb • PostgreSQL • Database normalization • Denormalized data schemas • Data modeling basics

• Cloud Data Warehouses

Data extraction • Infrastructure as code • Olap cubes • Table design • Cloud computing fluency • ETL • Database fundamentals • AWS storage services • Table partitioning • Online transaction processing • AWS data warehouse • Redshift • Data warehouse architecture • Amazon s3

• Spark and Data Lakes

AWS data lakes • ELT • Big data fluency • Data wrangling • Amazon s3 • Amazon Athena • Data Lakehouse Architecture • Apache Spark • Data format fundamentals • AWS glue • Data lakes • Data transformation

• Automate Data Pipelines

Apache Airflow • Data pipeline dags • Data pipeline partitioning • Amazon s3 • Data pipeline maintenance • Redshift • Data pipeline creation • Data lineage