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Tag: distributed processing

Voltron Aims to Unblock AI with GPU-Accelerated Data Processing

Data is at the heart of artificial intelligence, but it’s also emerging as one of its biggest bottlenecks. Without sufficient quantities of good, clean data to feed into models, companies simply can’t reap the reward Read more…

Pandora’s Journey from Hadoop to MemSQL

Pandora Media, the music streaming service, transitioned two years ago from heavy reliance on Hadoop for distributed processing to MemSQL as its primary database. The switch was prompted by the company’s inability b Read more…

Hadoop Market is Neck and Neck, Forrester Says

If you're shopping for a Hadoop distribution on which to hang your big data hat, you have your work cut out for you, according to Forrester Research, which found four strong performers in a market it says is neck and nec Read more…

Big Data – Scale Up or Scale Out or Both

The “Big Data” term is generally used to describe datasets that are too large or complex to be analyzed with standard database management systems. When a dataset is considered to be a “Big Data” is a moving target, since the amount of data created each year grows, as do the tools (soft-ware) and hardware (speed and capacity) to make sense of the information. Many use the terms volume (amount of data), velocity (speed of data in and out) and variety of data to describe “Big Data”. Read more…

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