Windows Eastern Province, Saudi Arabia

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