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

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 ...

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 ...

Nearly half of the databases that the Centers for Disease Control and Prevention used to update regularly — surveillance systems that tracked public health information like Covid vaccination rates and ...

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 ...

The old adage, "familiarity breeds contempt," rings eerily true when considering the dangers of normalizing deviance. Coined by sociologist Diane Vaughan, this phenomenon describes the gradual process ...

Organizations are using generative AI to stay ahead of the competition, but the real advantage lies in harnessing the power of your own data securely and at scale. One of the most exciting new ...

If you don’t have a backup of your MS SQL database, then follow the below ways to recover deleted data. Transaction log files record each change made to the ...

As proposed by business consultant and author Geoffrey Moore, "Without big data, you are blind and deaf in the middle of a freeway." Data is not only an asset these days in high-stakes business. It is ...

Add a description, image, and links to the database-normalization topic page so that developers can more easily learn about it.

Abstract: Labeling large datasets for constructing a text normalization system is cumbersome and time-consuming. Although some self-supervised learning models can reduce the amount of training data ...