- Hive Tutorial
- Hive - Home
- Hive - Introduction
- Hive - Installation
- Hive - Data Types
- Hive - Create Database
- Hive - Drop Database
- Hive - Create Table
- Hive - Alter Table
- Hive - Drop Table
- Hive - Partitioning
- Hive - Built-In Operators
- Hive - Built-In Functions
- Hive - Views And Indexes
- HiveQL
- HiveQL - Select Where
- HiveQL - Select Order By
- HiveQL - Select Group By
- HiveQL - Select Joins
- Hive Useful Resources
- Hive - Questions and Answers
- Hive - Quick Guide
- Hive - Useful Resources
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Hive Tutorial
Hive is a data warehouse infrastructure tool to process structured data in Hadoop. It resides on top of Hadoop to summarize Big Data, and makes querying and analyzing easy.
This is a brief tutorial that provides an introduction on how to use Apache Hive HiveQL with Hadoop Distributed File System. This tutorial can be your first step towards becoming a successful Hadoop Developer with Hive.
Audience
This tutorial is prepared for professionals aspiring to make a career in Big Data Analytics using Hadoop Framework. ETL developers and professionals who are into analytics in general may as well use this tutorial to good effect.
Prerequisites
Before proceeding with this tutorial, you need a basic knowledge of Core Java, Database concepts of SQL, Hadoop File system, and any of Linux operating system flavors.