The tide is changing for analytics architectures. Traditional approaches, from the data warehouse to the data lake, implicitly assume that all relevant data can be stored in a single, centralized ...

Hello, this is k-chan.There are times when you need to download and collect thousands of data points at once from a target system to analyze more than a year's worth of data. Have you ever held your h ...

Parallel processing capabilities are highly sought after, and admins can apply the technology across many industry sectors. With a data center designed to handle this workload type, companies can ...

Citus Data has launched CitusDB for Hadoop, a service that can process petabytes of data within seconds. The offering shows once again that the new class of analytics databases that can analyze ...

New data technologies are continually arriving these days. Among the latest entrants are GPU databases. Often associated with graph data processing tasks, these databases tap into the power of the GPU ...

Victor Lee is director of product management at TigerGraph. Graph databases excel at answering complex questions about relationships in large data sets. But they hit a wall—in terms of both ...

Multi-core processors theoretically can run many threads of code in parallel, but some categories of operation currently bog down attempts to raise overall performance by parallelizing computing. Is ...