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Daily focus: Describe considerations for real-time data analytics: Identify Microsoft cloud services for real-time analytics

20 October 2026 · Describe an analytics workload (25–30%)

Focus on this objective today: Describe considerations for real-time data analytics: Identify Microsoft cloud services for real-time analytics. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Visualize real-time data with Azure Stream Analytics and Power BI Module 7 Units Feedback Intermediate Data Analyst Data Engineer Azure Azure Stream Analytics Power BI 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. Learning objectives 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.

Objective

Describe considerations for real-time data analytics: Identify Microsoft cloud services for real-time analytics

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