Datastores and Assets in Machine Learning Studio
Difficulty: Intermediate
Duration: 5 minutes and 49 seconds
Students: 132
Rating: 5/5
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
Covered Topics