Open Source Leadership Summit 2019

Big Data has become the number one roadblock to organizational insight. Mobile devices, IoT, social media and hundreds of other sources are driving up data volumes 40% annually. If Big Data analytics are to become faster and more efficient, organizations need new solutions. Enter GPU-accelerated analytics. Delivering speed increases of up to 1,000x over CPUs, GPUs are enabling analysts and data scientists to query and visualize massive, multibillion row datasets in milliseconds—far beyond the limits of mainstream analytics tools. GPU-based analytics platforms eliminate the need for laborious data manipulation tasks such as pre-aggregation, downsampling, and pre-indexing.
After this presentation, open source users will be able to implement a solution to assess and interrogate Big Data at speed and scale, without locking into a proprietary approach.