YoVDO

Cloud Data Warehouses

Offered By: Udacity

Tags

Data Warehousing Courses Amazon Web Services (AWS) Courses Data Engineering Courses ETL Pipelines Courses

Course Description

Overview

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).

Syllabus

  • Introduction to Cloud Data Warehouses
    • Welcome to Cloud Data Warehouse with Amazon Web Services. In this lesson, you'll learn more about the course and set yourself up for success!
  • Introduction to Data Warehouses
    • In this lesson, you'll be introduced to the business case for data warehouses as well as architecture, extracting, transforming, and loading data, data modeling, and data warehouse technologies.
  • ELT and Data Warehouse Technology in the Cloud
    • In this lesson, you'll learn about ELT, the differences between ETL and ELT, and general cloud data warehouse technologies.
  • AWS Data Warehouse Technologies
    • In this lesson, you'll learn about AWS Services and how to set up Amazon S3, IAM, VPC, EC2, and RDS. You'll build a Redshift data warehouse cluster and learn how to interact with it.
  • Implementing a Data Warehouse on AWS
    • In this lesson, you'll learn to implement a data warehouse on AWS
  • Data Warehouse
    • In this project, you'll build an ETL pipeline that extracts data from S3, stages data in Redshift, and transforms data into a set of dimensional tables for an analytics team.

Taught by

nd073 Matt Swaffer and nd073 Valerie Scarlata

Related Courses

内存数据库管理
openHPI
CS115x: Advanced Apache Spark for Data Science and Data Engineering
University of California, Berkeley via edX
Processing Big Data with Azure Data Lake Analytics
Microsoft via edX
Google Cloud Big Data and Machine Learning Fundamentals en Español
Google Cloud via Coursera
Google Cloud Big Data and Machine Learning Fundamentals 日本語版
Google Cloud via Coursera