Nothing is bigger these days than data, data, data. We have more data than ever before, and we have more ways to store and analyze it—SQL databases, NoSQL databases, distributed OLTP databases, ...

The latest trends and issues around the use of open source software in the enterprise. In our voyages from software conference to software conference, we technology journalists often find stories that ...

Companies that need to analyze large amounts of data have many options available to them these days. One option they may want to be aware of is Kyligence, which develops a distributed OLAP query ...

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CelerData, a unified analytics platform designed for the modern, real-time enterprise, is announcing that the StarRocks Project, a high-performance analytical database launched in 2020, is ...

An open source database is just a regular database that’s distributed with its source code. Users can read, revise, and extend the software freely, although few use these opportunities. The most ...

I started using APL for data analysis around 1972. The powerful language, based on a 1962 book by Ken Iverson, A Programming Language, was and is notable for three things: its use of Greek letters and ...

2010 was a very good year for open source databases, with the top RDBMSs like Oracle's MySQL and PostgreSQL showing momentum with impressive customer gains and new releases that delivered much-desired ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...