The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

Split your metadata from your files, and suddenly your sluggish document system becomes fast, scalable and surprisingly cheap to run. When I was tasked with modernizing our enterprise document ...

This project was a milestone in my journey to study the Data Engineer Nanodegree (provided by Udacity) which I am currently enrolled in. A startup called Sparkify wants to analyze the data they've ...

The graph database market, driven by AI, is growing at a rate of almost 25% annually. Graph databases support knowledge graphs, providing visual guidance for AI development. There are multiple ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

Abstract: For over four decades, Relational database management systems RDBMS have been the primary model for data storage, retrieval and management. However, due to the continuous information growth ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

For the purpose of this project, I decide to choose MongoDB platform for my nosql modelling of the data. MongoDB is an open-source database developed by MongoDB, Inc. MongoDB stores data in JSON-like ...

The Covid-19 pandemic reminded us that everyday life is full of interdependencies. The data models and logic for tracking the progress of the pandemic, understanding its spread in the population, ...