Artificial intelligence operations can place different demands on storage during training, inference etc. We look at NAS, SAN and object storage for AI and how to balance them for AI projects.

Open source in-process OLAP system launches rival to Iceberg and Delta Lake table format, and more With a combined market ...

An axiomatic foundation for object-oriented data modeling and efficient algorithms for checking whether a given data model satisfies the axioms are presented. The data model is the foundation for a ...

Amazon Web Services (AWS) strives to deliver reliable services that customers can trust completely. This requires maintaining ...

In this paper, the data model is formally defined and a nonredundancy preserving primitive operator, the merge, is described. It is proven that nonredundancy is always preserved in the model. An ...

I wanted to find out if Capacities can truly become the central nervous system for my work and personal projects and handle notes, tasks, knowledge, and more. Let me take you thro ...

This TDWI Best Practices Report identifies current challenges organizations are facing with data strategy and management, as well as shared modernization priorities for achieving data-driven business ...

Migrating from an RDBMS to NoSQL can improve scalability and flexibility. Explore top NoSQL databases and best practices for ...

New AI-powered anomaly detection and in-memory processing capabilities in the Oracle Utilities Customer Platform are helping deliver fast, accurate meter data management (MDM) and streamlining utility ...