Azure Data Scientist Associate: Azure Data Platform Services

Azure    |    Intermediate
  • 12 videos | 1h 16m 35s
  • Includes Assessment
  • Earns a Badge
Rating 4.5 of 30 users Rating 4.5 of 30 users (30)
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.

WHAT YOU WILL LEARN

  • 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

IN THIS COURSE

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