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Data Engineering with AWS

Offered By: Udacity

Tags

Big Data Courses Amazon Web Services (AWS) Courses Data Warehousing Courses Relational Databases Courses NoSQL Databases Courses Data Lakes Courses Data Engineering Courses Data Models Courses Data Pipelines Courses

Course Description

Overview

Learn to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets.

Syllabus

  • Welcome to the Data Engineering with AWS Nanodegree Program
    • Welcome!
  • 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.
  • Cloud Data Warehouses
    • In this course, you’ll learn to create cloud-based data warehouses. You’ll sharpen your data warehousing skills, deepen your understanding of data infrastructure, and be introduced to data engineering on the cloud using Amazon Web Services (AWS).
  • Spark and Data Lakes
    • In this course, you will learn about the big data ecosystem and how to use Spark to work with
      massive datasets. You’ll also learn about how to store big data in a data lake and query it with Spark.
  • Automate Data Pipelines
    • In this course, you'll build pipelines leveraging Airflow DAGs to organize your tasks along with AWS resources such as S3 and Redshift.
  • Congratulations!
    • Congratulations on finishing your program!
  • Career Services

Taught by

Amanda Moran, Ben Goldberg, Sameh El-Ansary, Olli Iivonen, David Drummond, Judit Lantos, Juno Lee , Rodrigo G., Andrew M., Stanislav V., Eugenio C., Nitheesha T. and Jitesh S.

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