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Introduction to Data Mesh

  • Wednesday, June 15, 2022
  • 9:00 AM - 11:30 AM
  • See Remote Meeting Instructions Below


Registration is closed


Most organizations realize that the data is beneficial to everyone within the enterprise. While data is very valuable to the processes that produces the data, true potential of data can be realized when it’s shared within the organization and combined with other data. However, a one size fits all approach to managing data is not feasible in today’s agile business environments.

This session will provide overview of Data Mesh principles and logical architecture. Data Mesh is a paradigm shift in thinking about data as a product. The approach of distributed architecture for data management is meant to make data more accessible and available to data consumers by directly connecting them to data owners and producers.

The session will also provide summary on advantages of Data Mesh implementation, some challenges, success factors, and an implementation case study.


Niraj is a manager at Accenture within Data & AI practice based out of New Jersey. Niraj specializes in data governance solutions suited for modern architecture frameworks including Data Mesh.

Niraj is a seasoned data management professional with over 20 years of experience, of which 10+ years focused on Data and Analytics. His experience traverses a wide range of data management, business intelligence, data warehousing technologies including traditional on-prem as well as cloud platforms. He has also contributed as a member of working group committee to recently published CDMC framework by EDM Council. His work passion includes turning data in to actionable information.


9:00 Opening Remarks
9:15 - 11:15  Presentation

11:15 - 11:30  Open Q&A


Remote Meeting

DAMA June Meeting

Hosted by DAMA Minnesota


Wednesday, Jun 15, 2022 8:30 am | 3 hours | (UTC-05:00) Central Time (US & Canada)

Meeting number: 2557 744 4272

Password: xiKYV2d8t36 (94598238 from phones and video systems)

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Dial 25577444272@webex.com

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