In this training you'll learn how to make querying your data much easier. First created at Facebook, Hive is a data warehouse system for Hadoop that facilitates easy data summarization, ad-hoc queries, and the analysis of large datasets stored in Hadoop compatible file systems. Hive is designed to enable easy data summarization, ad-hoc querying and analysis of large volumes of data.
Introduction
♦ Hadoop
♦ What is Hive?
♦ Features of Hive
♦ Architecture of Hive
♦ Working of Hive
HIVE Installation
♦ Verifying JAVA Installation
♦ Verifying Hadoop Installation
♦ Downloading Hive
♦ Installing Hive
♦ Configuring Hive
♦ Downloading and Installing Apache
♦ Derby
♦ Configuring Metastore of Hive
♦ Verifying Hive Installation
HIVE Data Types
♦ Column Types
♦ Literals
♦ Null Value
♦ Complex Types
♦ Apache Hive
Create Database
♦ Create Data
♦ Abase Statement
DROP Database
♦ Drop Database Statement
CREATE Table
♦ Create Table Statement
♦ Load Data Statement
ALTER Table
♦ Alter Table Statement
♦ Rename To... Statement
♦ Change Statement
♦ Add Columns Statement
♦ Replace Statement
DROP Table
♦ Drop Table Statement
Partitioning
♦ Adding a Partition
♦ Renaming a Partition
♦ Dropping a Partition
BUILT-IN OPERATORS
♦ Relational Operators
♦ Arithmetic Operators
♦ Logical Operators
♦ Complex Operators
BUILT-IN FUNCTIONS
♦ Apache Hive
♦ Built-In Functions
♦ Aggregate Functions
Views And Indexes
♦ Creating a View
♦ Example
♦ Dropping a View
♦ Creating an Index
♦ Example
♦ Dropping an Index
HIVE QL SELECT...WHERE
♦ Syntax
♦ Example
HIVEQL SELECT...ORDER BY
♦ Syntax
♦ Example
HIVEQL GROUP BY
♦ Syntax
♦ Example
HIVEQL JOINS
♦ Syntax
♦ Example
♦ Join
♦ Left Outer Join
♦ Right Outer Join
♦ Full Outer Join.
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