- Organizations use analytics platforms to build large scale data analytics solutions that generate insights and drive success. Microsoft provides multiple technologies that you can combine to build a large scale data analytics solution.
In this module, you learn how to:
Describe data warehousing architecture.
Describe key features for data ingestion pipelines.
Identify common types of analytical data store and related Azure services.
Use Microsoft Fabric to ingest and analyze data.
- Learn about the basics of stream processing, and the services in Microsoft Azure that you can use to implement real-time analytics solutions.
In this module, you learn how to:
Understand batch and stream processing.
Describe common elements of streaming data solutions.
Describe features and capabilities of real-time intelligence in Microsoft Fabric.
Describe features and capabilities of Apache Spark Structured Streaming on Azure.
Explore real-time analytics in Microsoft Fabric.
- Learn the fundamental principles of analytical data modeling and data visualization, using Microsoft Power BI as a platform to explore these principles in action.
In this module, you learn how to:
Describe a high-level process for creating reporting solutions with Microsoft Power BI.
Describe core principles of analytical data modeling.
Identify common types of data visualization and their uses.
Create an interactive report with Power BI Desktop.
