As you explore how to create new opportunities with AI, it’s crucial to first take a close look at your data architecture.

To survive in today's ultra-competitive business environment, companies have to be adaptable and be able to move quickly with the ever-changing market conditions. It's not enough to simply have a good ...

The rapid expansion of data volumes in modern applications has intensified the need for efficient methods of storing and retrieving information. Contemporary research in data compression focuses on ...

Speedata, a startup that’s developing a specialized computer processor for data analytics workloads, exited stealth mode today as it closed on a $55 million funding round that brings its total amount ...

Transaction processing against relational databases may not be the focus of the datacenter, as it was when IBM created the first relational database and Oracle was founded to compete against it in the ...

RisingWave Labs, a company developing a platform for data stream processing, today announced that it raised $36 million in a Series A funding round led by Yunqi Partners, undisclosed corporate ...

Researchers at the Georgia Tech Research Institute recently combined machine learning, field-programmable gate arrays (FPGAs), graphics processing units (GPUs), and a novel radio frequency image ...

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 ...