If 84% of companies are adopting Big Data projects this year, why are 92% of them still seeing obstacles in their implementation? That is what a global study commissioned by CA Technologies explored.
In this new insideBIGDATA Guide to Scientific Research, the goal is to provide a road map for scientific researchers wishing to capitalize on the rapid growth of big data technology for collecting, transforming, analyzing, and visualizing large scientific data sets.
Jetson TX1 Module Runs Deep Neural Networks for Computer Vision, Machine Learning and Navigation, While Drawing Little Power
NVIDIA unveiled a credit-card sized module that harnesses the power of machine learning to enable a new generation of smart, autonomous machines that can learn.
Our friends over at Simplilearn put together a compelling infographic below that highlights 10 industry verticals and how they’re applying the big data technology stack.
Today SGI, a global leader in high-performance solutions for compute, data analytics, and data management introduced the SGI UV 300RL for big data in-memory analytics. As a new model in the SGI UV server line certified and supported with Oracle Linux, the SGI UV 300RL provides up to 32 sockets and 24 terabytes of shared memory. The solution enables enterprises that have standardized on Intel-based servers to run Oracle Database In-Memory on a single system to help achieve real-time operations and accelerate data analytics at unprecedented scale.
Teradata (NYSE: TDC), the big data analytics and marketing applications company, announced two new software capabilities that empower business users to uncover and operationalize the insights hidden within Internet of Things (IoT) data.
Teradata Unifies Technologies to Accelerate Performance and Simplify Deployment of Analytic Ecosystem
Teradata (NYSE: TDC), the big data analytics and marketing applications company, announced both software and hardware innovations that increase ease of use and manageability of its leading Teradata® Unified Data Architecture™ (UDA).
Today SGI announced that global deployments of the SGI UV 300H single-node system provide in total over 200 Terabytes of in-memory computing capacity to organizations running the SAP HANA platform. Introduced just one year ago, more than 50 SGI UV 300H systems have been installed in organizations to run a variety of applications on SAP HANA, including the SAP ERP, SAP Supply Chain Management (SCM), SAP Bank Analyzer, and SAP Business Warehouse applications, as well as advanced analytics.
Joseph George from HP presented this talk at the recent HPC User Forum. “This paper describes the HP Big Data Reference Architecture (BDRA) solution and outlines how a modern architectural approach to Hadoop provides the basis for consolidating multiple big data projects while, at the same time, enhancing price/performance, density, and agility. HP BDRA is a modern, flexible architecture for the deployment of big data solutions; it is designed to improve access to big data, rapidly deploy big data solutions, and provide the flexibility needed to optimize the infrastructure in response to the ever-changing requirements in a Hadoop ecosystem.”
A number of industries rely on high-performance computing (HPC) clusters to process massive amounts of data. As these same organizations explore the value of Big Data analytics based on Hadoop, they are realizing the value of converging Hadoop and HPC onto the same cluster rather than scaling out an entirely new Hadoop infrastructure.