Hive Tutorial | Hive Introduction | Hive in Hadoop | Big Data Tutorial for Beginners

Hive Tutorial | Hive Introduction | Hive in Hadoop | Big Data Tutorial for Beginners
Hive is basically a data warehousing solution which has got the logical representation of the tables, databases and with the help of SQL queries which work in RDBMS, hive gives us a very identical look and feel. Internally it translates the query into the MapReduce jobs. This is the similarity between the Hive and Pig. So, in this session let’s look into Hive.

Welcome to Hadoop Hive tutorial conducted by Acadgild. In this online Hadoop tutorial, we will take you through an in-depth introduction to Hive.

Topics Covered:
• Introduction to Hive
• How to Install Hive
• Execution Engines of Hive
• Introduction to Hive Architecture
• Hive Services
• Hive Clients
• The Hive Metastore
• Hive Function
• Query Lifecycle on Hadoop
• Advantages and Limitations
• A Walkthrough of Hive Components

Hive Introduction:
• A Data warehouse solution built on top of Hadoop by Facebook
• An essential tool in the Hadoop that provides an SQL (Structured Query Language) for querying data stored in the Hadoop Distributed File System (HDFS)
• Most data warehouse applications are implemented using relational databases that uses SQL as the query language. Hive lowers the barrier for moving these applications to Hadoop. People Wo know SQL can learn Hive easily.
• Automatically uses HDFS for storage, but stores all the meta information about database and table in metadata DB locally to Hive.
• Hive is the most suited for Data warehouse applications, where relatively static data is analyzed, fast response times are not required, and when relatively static data is analyzed, fast response times are not required, and when the data is not changing rapidly.
Kindly go through the complete video for an in-depth hive tutorial.
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