A decade ago, most businesses and organizations typically used one database, and that was generally one of the big four relational database platforms: Oracle, MySQL, SQL Server or PostgreSQL. In 2024, ...

Online analytical processing (OLAP) databases are purpose-built for handling analytical queries. Analytical queries run on online transaction-processing (OLTP) databases often take a long time to ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the ...

This online data science specialization is ideal for learners interested in database design, database software fundamentals, and how to use Structured Query Language (SQL) to work with databases. You ...

If there has been one characteristic that has been emblematic of data management in the early 2020s, it would be the incredible variety of appoaches. Not too long ago, the data management space was ...

Researchers have developed an easy-to-use tool that enables someone to perform complicated statistical analyses on tabular data using just a few keystrokes. Their method combines probabilistic AI ...

For years, enterprise companies have been plagued by data silos separating transactional systems from analytical tools—a divide that has hampered AI applications, slowed real-time decision-making, and ...

You probably don't want to see any more factoids about how much data the world generates every day. We certainly don't. Let's just agree that the data frenzy in the world today is outpacing not just ...

While approaches and capabilities differ, all of these databases allow you to build machine learning models right where your data resides. In my October 2022 article, “How to choose a cloud machine ...

Forbes contributors publish independent expert analyses and insights. Victor Dey is an analyst and writer covering AI and emerging tech. This voice experience is generated by AI. Learn more. This ...