Accessing Data in Azure Machine Learning
In this Azure Machine Learning data access lesson, students will learn how to access data from various sources and formats using the Machine Learning Studio and the Python SDK. They will understand how to specify the location, format, and authentication of different data sources such as Azure storage, Azure SQL database, or public servers using uniform resource identifiers (URIs). The lesson introduces the concepts of data stores and data assets, which are objects that encapsulate the data source location and the actual data, respectively. Students will gain hands-on experience in creating and using data stores and data assets in the Machine Learning Studio and the Python SDK.
Learning Objectives
- Learn how to use training data sources
- Understand different data formats
- Learn how to access and import data into Azure Machine Learning
Intended Audience
- Students preparing for the DP-100: Designing and Implementing a Data Science Solution on Azure exam
- Those wanting to learn how to access training data from Azure Machine Learning
Prerequisites
- Setting Up an Azure Machine Learning Development Environment
Hallam is a software architect with over 20 years experience across a wide range of industries. He began his software career as a Delphi/Interbase disciple but changed his allegiance to Microsoft with its deep and broad ecosystem. While Hallam has designed and crafted custom software utilizing web, mobile and desktop technologies, good quality reliable data is the key to a successful solution. The challenge of quickly turning data into useful information for digestion by humans and machines has led Hallam to specialize in database design and process automation. Showing customers how leverage new technology to change and improve their business processes is one of the key drivers keeping Hallam coming back to the keyboard.