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HCatalog
A storage management layer, as well as a table for Hadoop, is known as HCatalog. Basically, HCatalog gives authority to users to use different data processing tools, for example, Pig, MapReduceto make the read and write data simple on the grid.Moreover, in the Hadoop distributed file system (HDFS), its abstraction presents users with a relational view of data. Also, it ensures that where or in which format the data is stored like the text files, RCFile format, SequenceFiles, or ORC files, users don’t have to worry about that.
Furthermore, any format in which we can write a SerDe (serializer-deserializer) it supports read and write. And, also it supports several file formats such as RCFile, CSV, JSON, and SequenceFile, and ORC.
Learn HCatalog in detail, follow the link: Apache HCatalog Tutorial For Beginners 2018
Apache Hive
Especially, for querying and analyzing large datasets stored in Hadoop files, we use Apache Hive. It helps to process structured and semi-structured data in Hadoop.Basically, it is a data warehouse infrastructure that facilitates querying as well as managing large datasets that reside in the distributed storage system.
In order to learn Hive in detail, follow the link: Apache Hive Tutorial – A Single Best Comprehensive Guide for 2018
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