Course Overview
This workshop is an introduction to working with data in the cloud on Azure. You
will walk through the different data structures and how they can be managed,
consumed, and accessed in Azure. This workshop also explores solutions and
integrations with common tools used for extract, transform, and load (ETL)
processes. You will leave with an improved understanding of Azure’s data
ecosystem and where your existing data fits within it.
In this course, we will cover the following topics:
- Benefits of working with data in the cloud and review of terminology
- Relational data with Azure SQL and Azure MySQL Database, and more
- Files and blobs with Azure Storage
- Additional tools and services and strategies for migrating data to Azure and options for computation.
And you will complete the following hands-on exercises:
- How to transform data to another type with Azure Data Factory
- Integration with Jupyter Notebooks in Azure Machine Learning Studio
Course Materials
Instructor
Jasmine Greenaway
Questions?
Please submit them in advance of scheduled office hours at: https://aka.ms/university-azure/questions
Prerequisites
This workshop uses Python, but knowledge of the language is not required.
Additional Resources
Databases
Non-Relational/Unstructured/Semi-Structured/NoSQL
Migration and ETL + Additional Services