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
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