In this podcast, Jason Fedder, Ritu Kama, and Ted Willke from Intel describe the company’s new Intel Data Platform, a family of software for Big Data Analytics. “As big data shifts from hype to reality, Intel is helping to break down the barriers to adoption by easing complexity and creating more value,” said Boyd Davis, vice president and general manager of Intel’s Datacenter Software Division. “Much like an operating system for big data processing, the Intel Data Platform supports a wide variety of applications while providing improved security, reliability and peace of mind to customers using open source software.”
In this slidecast, Dev Patel and Poulomi Damany from BitYota describe the company’s Data Warehouse Service. “We are a Data Warehouse Service (DWS) available on major cloud providers like Rackspace and Amazon. We are designed from the ground up for high performance analytics on JSON data from fast-changing applications including web & mobile analytics and NoSQL stores like MongoDB. We don’t impact your operational store or app and best of all, as a fully managed service, we take the headache out of having to set up and manage another data platform.”
Our own Rich Brueckner will present on Big Data at the Technology Convergence Conference next week in Santa Clara, California. “While the term Big Data has become pervasive in Information Technology, many in the industry are still puzzled by how to make money from this phenomenon. In this talk, Brueckner will look at what’s really behind Big Data as an engine for change and describe case studies that are bringing the full potential of Big Data home.”
The Strata Conference 2014 takes place this week, February 11-13, in Santa Clara, Calif. – the heart of Silicon Valley. The theme for the big event is “Making Data Work.” Strata Conference is the leading event for the people and technology driving the data revolution. The home of data science, Strata brings together practitioners, researchers, IT leaders and entrepreneurs to discuss big data, Hadoop, analytics, visualization and data markets.
Twitter recently introduced a pilot project called Twitter Data Grants through which a handful of research institutions are given access to the company’s public and historical data. More than 500 million Tweets a day are generated by the Twitter microblogging service. Such an expansive set of data can allow data scientists to glean insights and learn about a variety of topics.
DK Panda from Ohio State University presented this talk at the Stanford HPC & Exascale Conference. “As InfiniBand is getting used in scientific computing environments, there is a big demand to harness its benefits for enterprise environments for handling big data and analytics. This talk will focus on high-performance and scalable designs of Hadoop using native RDMA support of InfiniBand and RoCE.”
“We’ve been working with Cantor Fitzgerald’s spin-out Lucera to architect, build, and support a very low latency, very high performance IaaS. They have developed tools to enable an intelligent distributed market, and are offering this extreme performance and advanced FX capability to traders all over the world.”
Revolution Analytics, the only commercial provider of open source R software, recently announced the launch of an Academic Institution Program and a Public Service Program. The new programs provide educational and nonprofit institutions with full access to Revolution R Enterprise (RRE), the company’s flagship Big Data predictive analytics software, for a yearly licensing fee of $999, which includes a license for unlimited users and general support.
Data grid software leader ScaleOut Software is using in-memory computing to achieve operational analytics for real-time decision making. There are real benefits in support of in-memory technology when it comes to fraud alerts, transportation management, and taking advantage of short-lived financial opportunities.