IT Professional Certifications     Microsoft     Microsoft Certified: Azure Data Scientist Associate     DP-100: Designing and Implementing a Data Science Solution on Azure

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One of the key components of Azure Cloud platform is the ability to store and process large amounts of data. Azure provides several data platforms for stored data and numerous services for processing data.
In this course, you'll explore the differences between structured and unstructured data. You'll learn about some of the available data storage platforms, including Azure SQL Database, Azure Cosmos DB, Azure Data Storage, and Azure Data Lake Storage Gen2. In addition, you'll learn about the data processing services such as Azure Synapse Analytics, Azure Stream Analytics, Azure Databricks, Azure Data Factory, and Azure HDInsight, which are all available to perform operations on the data stored in each of the data platforms.
This course is one in a collection that prepares learners for the Designing and Implementing a Data Science Solution on Azure (DP-100) exam.

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Objectives

DP-100 - Azure Data Scientist Associate: Azure Data Platform Services discover the key concepts covered in this course describe the differences between structured and unstructured data types and how they can be stored in Azure describe the Azure SQL Database and when to use it describe Azure Cosmos DB and the API models that can be used with it describe how data can be stored using Azure Data Storage describe the features of the Azure Data Lake Storage Gen2 and when to use this storage type describe the Azure Synapse Analytics platform and how it is used for data warehousing and big data analytics describe how Azure Stream Analytics is used to process streaming data describe the features of Azure Databricks describe the features of the Azure Data Factory describe the features of Azure HDInsight for ingesting, processing, and analyzing big data summarize the key concepts covered in this course