The field of healthcare intersects with data science through the tools and methodologies that practitioners use to diagnose their patients. Advances in medical scie...
A considerable part of the population uses mobile devices and computers to search data. They also store and perform data procedures. However, not everyone is aware of the...
In the past, Metadata Management is used to know how to use data catalog to find simple data or a book or a periodical in a library. However, today it is one of the most ...
You’ve all heard the saying “Garbage in, garbage out” and probably have your own horror story about wrestling data to the ground over missing values, inconsistent c...
Data engineering is a critical part of data science. Most of the time, they occur together in business applications. However, there are some fundamental differences betwe...
Why do data silos, and now analytic silos, continue to exist? It can’t be due to technical issues. Data silos appeared in the 1990s when we were trying to m...
Application integration and data integration are approaches taken by organizations to utilize data from different systems, but they meet different needs. They are the two...
Big data is all over the place! and it has the ability to provide us with far more than we expect. Be it: A hospital that gathers information in order to assess spe...
There’s no question that bad data hurts the bottom line. Bad customer data costs companies six percent of their total sales, according to a UK Royal Mail survey. The ...
Quite a few decentralized autonomous organizations (DAOs) have crashed and burned since 2015 when Ethereum was launched and “smart” contracts (self-executing agreemen...