In an era where the landscape of business is evolving and changing at a rapid pace, data collection & analysis often operate as pivotal factors in shaping the destiny...
In Part 1 of the “Building Blocks for Modern Data Management”, I explored two important modern data management concepts: Data Subassemblies and Data Products (F...
The issue is not just the actual multiplication but the fastest method to perform the multiplication. The speeding up of matrix multiplication calculations has a high imp...
With the world’s data multiplying in leaps and bounds, every organization is trying to make better business decisions in marketing, product development, and finance usi...
I believe that there are two key modern data management “products” required to transition data management into a business discipline focused on helping organizations ...
As technology gears up for one of its most significant periods of growth in the digital age towards a future built on the foundation of the metaverse, the sheer volume of...
Data scientists spend 80% of their time on data cleaning and exploratory analysis. What if you could automate most of this? What if data scientists spent most of their ti...
Today, data has evolved into one of the most crucial resources in the world. Unlike tangible resources like wood and fuel, the same data set can be used repeatedly and fo...
In 1974, two distinct but interestingly similar milestones were achieved that would greatly affect the lives of data engineers: the Rubik’s Cube was invented, and IBM r...