Privacy Center: The Key to Meeting Data Privacy Obligations
Organizations must opt for a more centralized approach to automate their privacy functions to reduce risk and build transparency and trust with their consumers....
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The art of removing duplicates from your organizational data
One of the biggest challenges that businesses face with their datasets is duplication. Teams encounter thousands of rows in the customer dataset, knowing that their custo...
Platform Technical Management – Data Engineering View
A data platform is an integrated set of technologies that collectively meet an organization’s end-to-end data needs. It enables the acquisition, storage, preparation, d...
Data Management as a Business Discipline – Part 2: Theorems and Principles
In the blog “Why Data Management is Today’s Most Important Business Discipline”, I challenged the business and IT communities to reframe the data management convers...
An Overview of Data Analytics in Investment Banking
In this article, let’s discuss how data analysis in investment banking is transforming the way investment banks work, the challenges that they get when engaging in this...
Making Data Centers More Sustainable
An even more significant challenge involves meeting the electrical demands of coming HPC systems and data centers in a sustainable way. Some exascale systems already have...
How to build your data quality team
As the adage goes, a workman is only as good as his tools. There is no disputing that, but you can never overlook the power of qualification, aptitude, and experience whe...
Removing Zinc Artifacts in Data Centers
Why do data centers need regular cleaning? Structural components of the data center, like stringers, rack struts, and floor tiles, are electroplated with several metals,...
Data Standardization: Define, Test, and Transform
What is data transformation? Simply put, data standardization is the process of transforming data values from an incorrect format to a correct one....
Challenges and Best Practices of Data Cleansing
Data accuracy is the biggest challenge many businesses encounter in their quest to cleanse data. Having accurate data is the foundation of the usefulness of data in all i...