Windows

Course details

Overview

This course is designed for developers who create applications and analyze Big Data in Apache Hadoop on Windows using Pig and Hive. Topics include: Hadoop, YARN, the Hadoop Distributed File System (HDFS), MapReduce, Sqoop and the HiveODBC ;

Duration    
4 days    
 
Course Objectives

• Describe Hadoop and Hadoop and YARN  
• Describe the Hadoop ecosystem  
• List Components & deployment options for HDP on Windows  
• Describe the HDFS architecture
• Use the Hadoop client to input data into HDFS  
• Transfer data between Hadoop and Microsoft SQL Server
• Describe the MapReduce and YARN architecture
• Run a MapReduce job on YARN  
• Write a Pig script  • Define advanced Pig relations  
• Use Pig to apply structure to unstructured Big Data
• Invoke a Pig User-Defined Function  
• Use Pig to organize and analyze Big Data  
• Describe how Hive tables are defined and implemented  
• Use Hive windowing functions  
• Define and use Hive file formats  
• Create Hive tables that use the ORC file format  
• Use Hive to run SQL-like queries to perform data analysis  
• Use Hive to join datasets  
• Create ngrams and context ngrams using Hive  
• Perform data analytics  
• Use HCatalog with Pig and Hive  
• Install and configure HiveODBC Driver for Windows  
• Import data from Hadoop into Microsoft Excel  
• Define a workflow using Oozie     

  Updated on 27 June, 2018