Big_Bang_Data_exhibit_at_CCCB_17Big data is a term for data so large or complex that traditional processing applications are inadequate. Challenges include:

  • capture, data-curation & data-management,
  • analysis, search & querying,
  • sharing, storage & transfer,
  • visualization, and
  • information privacy.

The term often refers simply to the use of predictive analytics or certain other advanced methods to extract value from data, and seldom to a particular size of data set. Accuracy in big data may lead to more confident decision making, and better decisions can result in greater operational efficiency, cost reduction and reduced risk.

At StreamHPC we’re focused on optimizing (predictive) analytic and data-handling software, as these tend to be slow. We solved Big Data problems at two aspects: real-time pre-processing (filtering, structuring, etc) and analytics (including in-memory search on a GPU).

Want to know more? Get in contact!

We are the acknowledged experts in OpenCL, CUDA and performance optimization for CPUs and GPUs. We proudly boast a portfolio of satisfied customers worldwide, and can also help you build high performance software. E-mail us today