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

The blog recommended that users learn to train their own AI models by downloading the Harry Potter dataset and then uploading text files to Azure Blob Storage. It included example models based on a ...

The Dataset: I grabbed 6 months of real e-commerce data from our warehouse: The Test: Five simple questions that every analytics dashboard asks: How much money did we make each day?

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Abstract: Database normalization is a ubiquitous theoretical relational database analysis process. It comprises several levels of normal forms and encourage database designers not to split database ...

For a brief moment, the digital asset treasury (DAT) was Wall Street’s bright, shiny object. But in 2026, the novelty has worn off. The star of the “passive accumulator” has dimmed, and rightly so.

AI and large language models (LLMs) are transforming industries with unprecedented potential, but the success of these advanced models hinges on one critical factor: high-quality data. Here, I'll ...