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

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

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.

Whether investigating an active intrusion, or just scanning for potential breaches, modern cybersecurity teams have never had more data at their disposal. Yet increasing the size and number of data ...

Enterprise software giant SAP SE is expanding its Business Data Cloud offering and doubling down on AI-ready data architectures, with product roll-outs and enhancements focused on bringing data and AI ...

Paradise Resort is a full-stack hotel booking application designed to provide guests with an intuitive platform to browse, filter, and reserve luxury accommodations. This system represents a complete ...

Document databases are an increasingly important type of technology in the gen AI era. A document database is a type of NoSQL database that doesn't rely on rows and columns like a traditional ...

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 ...

Good software habits apply to databases too. Trust in these little design tips to build a useful, rot-resistant database schema. It is a universal truth that everything in software eventually rots.

We have seen how to read data from a file, either in unstructured text or CSV format, and how to write data in these formats. We’ve also seen how to read and write JSON. In this chapter we’ll see how ...