HCatalog is a decision-making tool for Hadoop that exposes the Tabular data of Hive meta store to another Hadoop application, It allows users with different data processing tools to Write data onto a grid. HCatalog users do not have to worry About in what format data stored. The professionals hopeful To make a career in Big Data Analytics use learning Hadoop Framework, Professionals and ETL developers who are into analytics in general May as well use Hcatalog in Hadoop online training. Before proceeding with this tutorial, you need a basic knowledge Of Database concepts of SQL, Hadoop Filesystem, Core Java
Hcatalog with Hadoop online training in Hyderabad:
Kosmik Technologies provides Hadoop online training in Hyderabad. Learning Hadoop we can analyze the Hcatalog because every Thing linked with Hadoop training. Kosmik Technologies Provides Online Hcatalog classes, with expert faculty HCatalog, works like key component of Hive and it enables the Users to store their data in any structure and any format
Why HCatalog?:
It is right tool for right Job
Hadoop contains various tools for data processing such as Map Reduce, Pig, and Hive. Even though these tools do not must metadata, sharing a metadata store also Enables users across tools to share data, a workflow where data is normalized And loaded using Pig or Map Reduce and then analyzed with Hive is very common. If all These tools share one meta store, and then the users of each tool have immediate access To data created with another tool.
Integrate with Hadoop:
Hadoop as storage and processing environment opens up a lot of opportunity for The enterprise, but to fuel implementation, it must work with existing tools. Hadoop should serve as input into your analytics integrate or platform with your Operational web applications and data stores, the organization should enjoy the value of Hadoop without having learned Hadoop, Enterprise data management systems use HCatalog to more integrate with the Hadoop platform
HCatalog Architecture:
HCatalog supports writing and reading files in any format for which SerDe (serializer-deserializer) can be written. By default, HCatalog supports JSON, RCFile, RCFil, CSV, Sequence File, and ORC file formats. Use a custom format, you Must provide the Output Format, Input Format, and SerDe
HCatalog built on top of the Hive incorporates Hive DDL and meta store. HCatalog Provides write and read interfaces for Map Reduce and Pig uses Hive command line Interface for issuing metadata exploration commands And data definition.
Applications of Hcatalog:
1. HCatalog supports reading and writing files in any format for which a Hive SerDe (serializer
deserializer) can write. By default, HCatalog Supports CSV, RCFile, JSON, and Sequence File formats
2. HCatalog is built on top of the Hive incorporates and meta store components from
The Hive DDL, HCatalog provides read and write interfaces for Map Reduce and Pig.
3. It also presents REST interface to permit external tools to access Hive DDL (Data Definition Language) operations such as describe table and create Table