If you want to know what’s what in Big Data analytics today, you’ve got to know the basics of NoSQL databases, and how appropriate NoSQL databases facilitate Big Data analytics. What are the most ...

The increased requirements of modern analytical workloads, querying billions of rows on demand, are a challenge for relational databases because they're optimized for transactional workloads. While ...

Relational database management systems (RDBMS) rely on an optimizer (or relational optimizer) that transforms SQL statements into executable code. Before any SQL statement can be run by the RDBMS, the ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

A database that maintains a set of separate, related files (tables), but combines data elements from the files for queries and reports when required. The concept was developed in 1970 by Edgar Codd, ...

So you are a system architect, and you want to make the databases behind your applications run a lot faster. There are a lot of different ways to accomplish this, and now, there is yet another — and ...

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 ...

“The new capabilities further emphasize the benefits of Splice Machine's hybrid architecture,” said Monte Zweben, co-founder and CEO of Splice Machine. “For modern applications that need to combine ...