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.
In this new insideBIGDATA Guide to Retail, the goal is directed toward line of business leaders in conjunction with enterprise technologists with a focus on the above opportunities for retailers and how Dell can help them get started. The guide also will serve as a resource for retailers that are farther along the big data path and have more advanced technology requirements.
This article is the first in a series that explores a high-level view of how the retail industry has been influenced by big data technologies.
In this special guest feature, Bill Schmarzo of EMC presents the three questions that companies need to ask themselves before diving into big data. Bill is the Chief Technology Officer for EMC Global Services’ Enterprise Information Management & Analytics service line.
“The Seagate 1200.2 SSD family includes the next-generation of high-capacity, high-performance SAS SSDs designed with multiple endurance offerings optimized for demanding enterprise applications and maximum TCO savings. The 1200.2 SAS SSD family delivers ultra-fast, consistent and easily scalable performance that exceeds 12Gb/s SAS single port bandwidth. By removing the storage bottleneck, it closes the gap between processor and data storage performance and significantly improves overall system and application responsiveness.”