hbase real time use cases - Wikitechy https://www.wikitechy.com/interview-questions/tag/hbase-real-time-use-cases/ Interview Questions Tue, 14 Sep 2021 12:14:12 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.4 https://www.wikitechy.com/interview-questions/wp-content/uploads/2025/10/cropped-wikitechy-icon-32x32.png hbase real time use cases - Wikitechy https://www.wikitechy.com/interview-questions/tag/hbase-real-time-use-cases/ 32 32 What is Hbase used for, and what are the benefits that it provides over Pig and Hive ? https://www.wikitechy.com/interview-questions/apache-pig/what-is-hbase-used-for-and-what-are-the-benefits-that-it-provides-over-pig-and-hive/ https://www.wikitechy.com/interview-questions/apache-pig/what-is-hbase-used-for-and-what-are-the-benefits-that-it-provides-over-pig-and-hive/#respond Mon, 12 Jul 2021 07:58:18 +0000 https://www.wikitechy.com/interview-questions/?p=194

Hbase uses

  • HBASE will not replace Map Reduce. It is scalable distributed database.
  • Hbase processing data will act as Map Reduce.
  • The Hadoop database is define Apache HBase.
  • HBase is a sub-project of the Apache Hadoop project and is used to provide real-time read and write access to big data.
  • Hbase is a Bigtable clone.
  • Hbase is a open source.
  • Hbase called as Cascading connector.

what are the Features that it provides over Pig and Hive?

  • Possible to create tables in Hive and store data,it can even map the user’s existing HBase tables to Hive and operate on them.
  • Hive should be used for analyzing query of data collected over a period of time.
  • Hbase has got its own set of very good Application Programming Interface(API) which could be used to push/pull the data.
  • It has a good community for the future.It developed on top if hadoop already used to integration for the Hadoop platform.
  • Hbase can be integrated with MapReduce that can do bulk operation, like indexing, analytics etc.
    • Distributed storage
    • Table-like in data structure
    • multi-dimensional map
    • High scalability
    • High availability
    • High performance
  • A distributed data store that can scale horizontally to 1,000s of commodity servers and petabytes of indexed storage.
  • Designed to operate on top of the Hadoop distributed file system (HDFS) or Kosmos File System (KFS, aka Cloudstore) for scalability, fault tolerance, and high availability.
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