We can also spot opportunities for improvement. Data modeling lives on after the database has been created and deployed, helping us to keep track of changes and adapt our systems accordingly.

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

In the realm of data modeling, many-to-many relationships are often considered an "odd duck." Unlike one-to-one or one-to-many relationships, which can be directly implemented in physical database ...

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

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, ...

A graph database is a type of data model structured to help users better understand relationships between different data points and content. There are multiple graph databases in the market today ...

Aerospike develops the multi-model NoSQL Aerospike database system that the company says delivers predictable performance at scale and can process petabytes of data in real time. Based on a ...