Architecting Microsoft Azure Solutions: Data Services Design


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level


Overview/Description

Explore big data processing resulting in meaningful insights, as well as services such as Azure Data Lake and Azure Data Catalog.



Expected Duration (hours)
0.7

Lesson Objectives

Architecting Microsoft Azure Solutions: Data Services Design

  • explain how meaningful insights can be gained from data analysis
  • describe when the Azure Data Catalog should be used to analyze data
  • use the portal to create an Azure Data Catalog
  • use the portal to make data assets known to the Azure Data Catalog
  • access registered asset data through the Azure Data Catalog
  • describe when the Azure Data Factory should be used to analyze data
  • use the portal to create an Azure Data Factory
  • expose Azure blob data as an Azure Data Factory dataset
  • use the portal to enable an Azure Data Factory pipeline
  • describe when the Azure SQL Data Warehouse should be used
  • use the portal to create an Azure SQL Data Warehouse
  • list the benefits of using Azure Data Lake Analytics
  • list the benefits of using Azure HDInsight
  • select the appropriate Azure big data analytic solution to address business needs

    • Course Number:
    it_clarma_09_enus

    Expertise Level
    Intermediate