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  Published Paper Details:

  Paper Title

ETL FOR UPDATING DASHBOARDS

  Authors

  Nutan,  Dr B Renuka Prasad

  Keywords

Extract Transform Load, Extract Load Transform, Analytics Pipeline, Knime, Jenkins

  Abstract


Business intelligence is a key factor for any manufacturer to distribute the resources strategically. processing of data to get incites is a tedious task and will take up a large resource. The dashboards that consume this processed information require the data to be in a certain form. Some dashboards require the data to be uploaded periodically. Processing data as it is produced from sources is a waste of resources and time. ETL(Extract Transform Load) provides a way of aggregating data, transforming it, and loading it to the destination. It is a process that is custom-built for every job but, the architectural structure is the same. Even if the structure is the same there are different strategies for carrying out the ETL task. The automated ETL tasks will save time and will be reliable since they are purpose-built. The standard ETL task only transforms the data and the analytics and other processes are carried out. The analytics regarding the characteristics of data will help maintain the data and access the quality of the data.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2106230

  Paper ID - 208573

  Page Number(s) - b795-b798

  Pubished in - Volume 9 | Issue 6 | June 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Nutan,  Dr B Renuka Prasad,   "ETL FOR UPDATING DASHBOARDS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 6, pp.b795-b798, June 2021, Available at :http://www.ijcrt.org/papers/IJCRT2106230.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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