International Research journal of Management Science and Technology

  ISSN 2250 - 1959 (online) ISSN 2348 - 9367 (Print) New DOI : 10.32804/IRJMST

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    1 Author(s):  MANISHA

Vol -  10, Issue- 1 ,         Page(s) : 59 - 65  (2019 ) DOI :


We live during a time when innovation is quick outpacing our reasoning. We currently consider fresher instruments and innovations to deal with our future needs. The information business has made some amazing progress since the prior long stretches of Data Warehousing. Today, information comes to us in different structures, and from various sources, in contrast to prior days. The sources are not regularly revealed, and the information should be filtered for important data. The information engineer has replaced ETL designers, and DevOps has advanced into the information system. Information engineers chip away at stages like Spark and Python. Calculations have just forayed into Business Intelligence and basic leadership. Presently, we can likewise extricate information from different sources, before finding an example out of it. Be that as it may, before diving further, one should realize what Data Warehousing is.

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