International Journal of Management IT and Engineering
  • Year: 2020
  • Volume: 10
  • Issue: 2

Achieving MDM on data lakes

  • Author:
  • Venkat Ramana Rapolu
  • Total Page Count: 3
  • Page Number: 38 to 40

Doctorate Program, Linguistics Program Studies, Udayana University, Denpasar, Bali, Indonesia (9 pt)

*Author correspondence: Venkat Ramana Rapolu, MDM, Data Analytics, Data Lakes, Bentonville, USA, Email: rapoluramana@gmail.com

Online published on 25 August, 2021.

Abstract

Master Data Management (MDM) is a Process or methodology to create a Golden copy of your record by integrating Data from different Sources so that this Data can be consumed Enterprise wide; MDM is possible on Transactional Data and Not on agile Data. Since it consumes Data from different Sources and if becomes huge Volume Transational Data and its hard to achieve MDM on RDBMS; Why can't we take advantage by implementing MDM on Lakes ? As last several years many organizations have ingested Data into Hadoop for their Analytic Usecases. Is it possible to implement MDM on Data Lakes? Do we achieve Significant benefits by Mastering Data on Lakes? How to reduce Data redundancy on Lakes?

Keywords

Master Data Management (MDM), Data Quality, Data Governance, Data Lakes, Transactional Data Management