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Data Warehousing with Hadoop: Microsoft Analytics Platform System and Hive

Data Warehousing with Hadoop: Microsoft Analytics Platform System and Hive


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Explore the Microsoft Analytics Platform System and using Hive to manage data from a data warehouse perspective.



Expected Duration (hours)
1.5

Lesson Objectives

Data Warehousing with Hadoop: Microsoft Analytics Platform System and Hive

  • illustrate capabilities, features, and objectives of the Microsoft Analytics Platform System
  • specify how to manage data using PolyBase and the various essential benefits provided by PolyBase
  • identify the role of parallel data warehousing architecture in Microsoft Analytics Platform System
  • recall the various data exploration architectures that can be implemented using HDInsight and the Microsoft Analytics Platform System
  • describe the role of Hive as a data warehouse system for Hadoop
  • describe the architectural composition of Hive in HDInsight
  • set up the development environment for Hive using the Azure HDInsight tool for VSCode
  • connect and submit queries to HDInsight clusters using VSCode
  • specify the various clauses that can be used in Hive Query Language to manage objects and query data
  • work with Azure PowerShell and Beeline to execute Hive Query Language queries
  • create a database, tables, and load data to Hive tables from the Azure Blob Storage and SQL Servers
  • work with partition tables and manage Hive data formats
  • demonstrate how to install Hue and manage Hive queries from the Hue interface
  • demonstrate the approaches involved in retrieving Hive data and creating visualization on Power BI
  • work with HIVE as an ETL tool
  • compare HBase and Hive from the data modeling perspective
  • create a Hive table and load data from an external SQL Server
  • Course Number:
    it_dfdwha_02_enus

    Expertise Level
    Intermediate