Reader small image

You're reading from  Engineering Data Mesh in Azure Cloud

Product typeBook
Published inMar 2024
PublisherPackt
ISBN-139781805120780
Edition1st Edition
Concepts
Right arrow
Author (1)
Aniruddha Deswandikar
Aniruddha Deswandikar
author image
Aniruddha Deswandikar

Aniruddha Deswandikar holds a Bachelor's degree in Computer Engineering and is a seasoned Solutions Architect with over 30 years of industry experience as a developer, architect and technology strategist. His experience spans from start-ups to dotcoms to large enterprises. He has spent 18 years at Microsoft helping Microsoft customers build their next generation Applications and Data Analytics platforms. His experience across Application, Data and AI has helped him provide holistic guidance to companies large and small. Currently he is helping global enterprises set up their Enterprise-scale Analytical system using the Data Mesh Architecture. He is a Subject Matter Expert on Data Mesh in Microsoft and is currently helping multiple Microsoft Global Customers implement the Data Mesh architecture.
Read more about Aniruddha Deswandikar

Right arrow

What causes discrepancies in master data?

Every company starts with a simple database to manage its customers, products, and all other important business entities. As the company grows, these data start migrating to the different departments and regions of the company. Over time, copies of these data exist in many areas of the company. The data are changed or modified over time. These changes are sometimes planned and sometimes accidental. As a result, the data starts drifting from its original value, and you have different versions of the same data at different locations. Here are a few reasons why this master data drifts from its original values:

  • Inconsistent naming conventions: Some countries capture the names of people, such as their last name, first name, and middle name. Some countries skip middle names. These inconsistent naming conventions can lead to duplicate records for the same product.
  • Lack of standards: Information such as product names and account numbers...
lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
Engineering Data Mesh in Azure Cloud
Published in: Mar 2024Publisher: PacktISBN-13: 9781805120780

Author (1)

author image
Aniruddha Deswandikar

Aniruddha Deswandikar holds a Bachelor's degree in Computer Engineering and is a seasoned Solutions Architect with over 30 years of industry experience as a developer, architect and technology strategist. His experience spans from start-ups to dotcoms to large enterprises. He has spent 18 years at Microsoft helping Microsoft customers build their next generation Applications and Data Analytics platforms. His experience across Application, Data and AI has helped him provide holistic guidance to companies large and small. Currently he is helping global enterprises set up their Enterprise-scale Analytical system using the Data Mesh Architecture. He is a Subject Matter Expert on Data Mesh in Microsoft and is currently helping multiple Microsoft Global Customers implement the Data Mesh architecture.
Read more about Aniruddha Deswandikar