What is Hive in Hadoop Framework

Hive is data warehouse tool which is used to process structured data in Hadoop. It resides on Hadoop Framework to describe Big Data and builds querying and analyzing more easier. Hive was developed by Facebook Orgnization but later Apache Software took it up. After that Apache Software Foundation developed Hive further as an open source. Now it is used by many companies such as Amazon uses Apache Hive in Amazon Elastic MapReduce.

Hadoop Framework

Important Features of Hive:-

• Hive stores data as a schema in a database.
• It processed data into HDFS.
• Hive is designed for OLAP.
• It provides SQL language for querying. e.g. HQL or HiveQL.
• It is fast, extensible and scalable.

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Hadoop is an open source framework of Apache which is used to store process and analyze data in very big volume. Hadoop is leading Big Data platform used by top IT organizations like Facebook, Google, Yahoo and many more. To know more about Hadoop visit Big Data Hadoop Training in Pune.

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Modules of Hadoop:-

1. HDFS (Hadoop Distributed File System): HDFS is a distributed file system that takes care of storage segment of Hadoop applications. HDFS distributes multiple replicas of data on compute nodes in cluster.
2. Yarn: This Hadoop framework is used to scheduling and cluster resource management.
3. Map Reduce: This is another framework of Hadoop which is Yarn based system for processing the large amount of data. It takes input data and converts this data into a data set which is computed in Key value pair.
4. Hadoop Common: These are Java libraries. It used to start Hadoop program and other Hadoop modules can access these libraries to process the data.