Hive for Oracle Developers and DBAs - Part III

Today we will discuss some more topic in Hive like Hive Queries, Distributed clauses, Sampling Data, Views,  Indexes and schema design. You can review the related posts below.

Hive for Oracle Developers and DBAs - Part  I

Hive for Oracle Developers and DBAs - Part II

Hive for Oracle Developers and DBAs - Part II

In the first Hive post  we have discussed the basic usage and functionality of Hive , today we move forward and discuss some advance functionality. I'll cover Collection, Tables and Partitions in this post.

Hive Installation and Configuration

What is Hive?

Apache Hive (originated in Facebook) is a Data warehouse system which is built to work on Hadoop to manage large datasets residing in HDFS. Hive is designed to enable easy data summarization, ad-hoc querying and analysis of large volumes of data using SQL At the same time, Hive's SQL gives users multiple places to integrate their own functionality to do custom analysis, such as User Defined Functions (UDFs). It is not designed for online transaction processing and best used for traditional data warehousing tasks.