Retail Banker International on MSNOpinion

Time to get serious with graphs in banking and cybersecurity

Graph database expert Marko Budiselic shares useful engineering perspectives on the question and highlights the example of ...
Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...
AI recommendations depend on relational knowledge, not just content. Here’s why your brand may be missing and how to fix it ...
Materials databases lie at the heart of future data-driven discovery in energy-related fields, say researchers from Tohoku ...
Another year passes. I was hoping to write more articles instead of just these end-of-the-year screeds, but I almost died in the spring semester, and it sucked up my time. Nevertheless, I will go ...
In today’s data-driven world, databases form the backbone of modern applications—from mobile apps to enterprise systems. Understanding the different types of databases and their applications is ...
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 ...
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 ...
Abstract: Keyword search in relational databases allows the users to query these databases using natural language keywords, bridging the gap between structured data and intuitive querying. However, ...
Naresh Miryala is an accomplished engineering leader at Meta with nearly two decades of experience in cloud and data platform engineering. As someone deeply involved in the database space, the rapid ...
Databases publish data. This is undoubtedly the case for scientific and statistical databases, which have largely replaced traditional reference works. Database and Web technologies have led to an ...
The importance of storing, organizing, and using data has increased every year. We are living in a data era where being competitive and agile means being able to manage data from a wide range of ...