Brief About Hadoop-Based

Brief About HBase

Overview of HBase

HBase is an open-source, distributed, non-relational database built on the Apache stack that was inspired by Google’s Bigtable.

This column-oriented database management system offers a fault-tolerant method of storing massive amounts of sparse data on top of HDFS (Hadoop Distributed File System).

Those looking to land lucrative positions in the Big Data Hadoop industry may learn more about Apache HBase by reading this article. Get hands-on in our Best Hadoop Training in Chennai at Softlogic Systems.

Introduction to HBase

We frequently find ourselves digging through a mess of papers on our desks to find a certain piece of paper.

It goes without saying that with digitized big data, the number of debris is rising into the billions, and trying to find a single piece of information in this mass of data is like to trying to find a needle in a very large haystack.

A handy database that enables us to categorize the data for quicker access is unquestionably necessary when we take into account such vast and gigantic volumes of data.

A column-oriented database management system is called HBase”. It utilizes HDFS and is an open-source implementation of Google’s Bigtable storage architecture (Hadoop Distributed File System).

It works well with thin datasets, which are rather prevalent in many applications of big data. HBase is not a relational data store at all, and it does not provide a structured query language, in contrast to its more conventional rival database systems.

Hadoop-based apps are created in Java, much like a normal MapReduce application is, but they also enable creating applications in Avro, REST, and Thrift. The efficiency of HBase has significantly increased recently, and it now supports a number of data-driven services, including Facebook’s message system. It is still not viewed as a straight substitute for a SQL database, though.

Introduction To Hbase

Hadoop-based offers certain built-in capabilities including scalability, versioning, compression, and garbage collection and can manage both structured and semi-structured data.

Because it makes use of write-ahead logging and distributed configuration, it can offer fault tolerance and speedy recovery from individual server failures. HBase is built on top of Hadoop/HDFS, and the MapReduce capabilities of Hadoop may be used to alter the data stored in HBase.


In summary, Hadoop-based gently condenses massive volumes of data into a useful source for the future. As one of its duties is to filter out unnecessary and erroneous data and provide only the required data, it is a big time-saving.

Denormalized data can be stored there, along with large, sparsely filled tables, and automated partitioning. Visit Softlogic Systems for comprehensive information and expertise about HBase Training in Chennai.

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