From the course: Microsoft Azure Data Fundamentals (DP-900) Cert Prep by Microsoft Press

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Module 4: Describe an analytics workload on Azure

Module 4: Describe an analytics workload on Azure - Azure Tutorial

From the course: Microsoft Azure Data Fundamentals (DP-900) Cert Prep by Microsoft Press

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Module 4: Describe an analytics workload on Azure

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- In this module, we'll describe an analytics workload on Azure by exploring Azure services for performing data analytics. We'll describe common elements of large scale analytics. In this list, we'll describe considerations for data ingestion and processing. Describe options for analytical data stores and describe Azure services for data warehousing including Azure Synapse Analytics, Azure Databricks, Microsoft Fabric, Azure HDInsight, and Azure Data Factory. Next, we'll describe considerations for real-time data analytics. We'll describe the difference between batch and streaming data and identify Microsoft Cloud services for real-time analytics. And finally, we'll describe data visualizations in Microsoft Power BI. We'll identify capabilities of Power BI, describe features of data models in Power BI, and identify appropriate visualizations for data. Let us begin.

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