How to Boost Database Development Productivity on Linux, Docker, and Kubernetes with Microsoft SQL Server 2017 REGISTER >
With today's announcement of 35 new CUDA Research Centers and CUDA Teaching Centers spread over 14 different countries and over 400 universities around the world which now include parallel programming using GPUs or graphics processing units in their curriculum today and leveraging the massive processing power being afforded by this level of expertise, today's most complex computing issues are closer then ever to being solved.
Using Parallel Computing for data analysis is helping to solve today's most complex and process intensive computations and adding 35 new research centers will insure the use of this skill in future systems
Analytics in the cloud democratize the ability of developers and non-technical business users alike to put ever-expanding data universes to work. Download this eBook to learn how to plan and build a cloud-based enterprise analytics platform, tune that environment to meet changing business requirements, and maximize the TCO benefits of moving analytics to the cloud.
Event Date: Tues, December 5, 2017 at 1:00 p.m. ET/10:00 a.m. PT
Modernizing the enterprise data center to address raging demands for speed, performance, and capacity is a top directive for many IT organizations.
While it's a known fact that upgrading to next-generation flash and solid-state drives (SSDs) can improve IT agility and application performance, the lower cost of legacy hard-disk drives (HDDs) has confined SSD use to only 10% of the data center. But that's changing.
Don't guesstimate the …