In today’s world of globalization, almost every leading organization in any field is struggling to cope up with huge amounts of data which might be in Petabytes or Zettabyte generated within the organization as well as data is coming from outside world constantly. To manage such huge datasets becomes extremely challenging with current Relational Database Systems that involve costly join operations; large query solving time as well as computation time also the security is debatable. That is when the technology of ‘Big Data’ Hadoop comes in, which believes in large datasets spread over clusters of server, parallel processing thereby producing much faster response & enhanced computation time along with efficient Scaleup capabilities. Hadoop with HBase which is a No-Sql database is able to provide the above traits. Data replication in various servers ensures the processing never stops even if one or few servers go down. Through our project, we would be handling TBs of data & would be able to perform database operations like insertion, deletion & retrieval not just on windows machine but also through android mobile by accessing remotely our database which will mostly be a Linux machine. Through this approach we will prove that this technology is much faster, secure than RDBMS systems being used & this technology will be the future for managing huge datasets.
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