Lesson 1
Introduction to Cloud Data Warehouses with Azure
In this lesson, you'll learn about the course, including the prerequisites, tools, environment, and course project.
Course
In this course, you will learn to create cloud-based data warehouses and sharpen your data warehousing skills, deepen your knowledge of data infrastructure, and be introduced to data engineering on the cloud using Azure.
In this course, you will learn to create cloud-based data warehouses and sharpen your data warehousing skills, deepen your knowledge of data infrastructure, and be introduced to data engineering on the cloud using Azure.
4 weeks
Real-world Projects
Completion Certificate
Last Updated June 15, 2023
No experience required
Lesson 1
Introduction to Cloud Data Warehouses with Azure
In this lesson, you'll learn about the course, including the prerequisites, tools, environment, and course project.
Lesson 2
Introduction to Data Warehouses
In this lesson, you'll be introduced to data warehouses, ETL, and OLAP cubes.
Lesson 3
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.
Lesson 4
Azure Data Warehouse Technologies
In this lesson, you will learn about specific data warehouse technologies and solutions in Azure.
Lesson 5
Implementing Data Warehouses in Azure
In this lesson, you will have the opportunity to implement a data warehouse in Azure using Synapse.
Lesson 6 • Project
Building an Azure Data Warehouse for Bike Share Data Analytics
In this project, you will develop a data warehouse solution using Azure Synapse Analytics to analyze bike share data.
Matt Swaffer
General Manager, MBS
Matt has been working in software development and data science for over 20 years. Matt's career is centered on the intersection of technology, data, and human psychology. He is passionate about using data science to have a meaningful impact on our people and our planet.
Matt Swaffer
General Manager, MBS
Matt has been working in software development and data science for over 20 years. Matt's career is centered on the intersection of technology, data, and human psychology. He is passionate about using data science to have a meaningful impact on our people and our planet.
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