- Get started with Azure Stream Analytics
In this module, you'll learn how to:
- Understand data streams.
- Understand event processing.
- Understand window functions.
- Get started with Azure Stream Analytics.
- Azure Stream Analytics provides a real-time data processing engine that you can use to ingest streaming event data into Azure Synapse Analytics for further analysis and reporting.
After completing this module, you'll be able to:
- Describe common stream ingestion scenarios for Azure Synapse Analytics.
- Configure inputs and outputs for an Azure Stream Analytics job.
- Define a query to ingest real-time data into Azure Synapse Analytics.
- Run a job to ingest real-time data, and consume that data in Azure Synapse Analytics.
- By combining the stream processing capabilities of Azure Stream Analytics and the data visualization capabilities of Microsoft Power BI, you can create real-time data dashboards.
In this module, you'll learn how to:
- Configure a Stream Analytics output for Power BI.
- Use a Stream Analytics query to write data to Power BI.
- Create a real-time data visualization in Power BI.
Overview
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Syllabus
- Get started with Azure Stream Analytics
- Introduction
- Understand data streams
- Understand event processing
- Understand window functions
- Exercise - Get started with Azure Stream Analytics
- Module assessment
- Summary
- Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics
- Introduction
- Stream ingestion scenarios
- Configure inputs and outputs
- Define a query to select, filter, and aggregate data
- Run a job to ingest data
- Exercise - Ingest streaming data into Azure Synapse Analytics
- Module assessment
- Summary
- Visualize real-time data with Azure Stream Analytics and Power BI
- Introduction
- Use a Power BI output in Azure Stream Analytics
- Create a query for real-time visualization
- Create real-time data visualizations in Power BI
- Exercise - Create a real-time data visualization
- Module assessment
- Summary