As you explore how to create new opportunities with AI, it’s crucial to first take a close look at your data architecture.

Data is only going to continue to grow and with that, so must data processing capabilities. Many of the more traditional methods of data processing have struggled to keep with the immense surge in ...

The rapid expansion of data volumes in modern applications has intensified the need for efficient methods of storing and retrieving information. Contemporary research in data compression focuses on ...

Automatic Data Processing recently marked its 50th consecutive year of dividend increases with a 10% quarterly hike, supported by free cash flow of US$4.80 billion against US$2.40 billion of dividend ...

Typically, most applications consist of both batch and online workloads. This is true even today, when most of our attention has turned to online and web-based interaction. Sure, online activities are ...

To survive in today's ultra-competitive business environment, companies have to be adaptable and be able to move quickly with the ever-changing market conditions. It's not enough to simply have a good ...

Do you agree? Data normalization isn’t the finish line. Harmonization is. Even after basic normalization, datasets can drift ...

Here’s the problem: Executives greenlight a big project and developers are raring to work on it, but it takes days or weeks for IT to provision a database to get started. Or developers dive in, but ...