“SAS In-Memory Statistics for Hadoop software enables multiple users to concurrently manage and prepare data stored in Hadoop, explore and visualize this data, develop accurate statistical and machine learning models quickly, as well as access, deploy and execute these models in their Hadoop ecosystem.”
Last week saw evidence for the big data industry steamroller effect as the Strata Conference 2014 in Santa Clara came and went. With thousands of attendees, an abundance of informative presentations, and a very healthy exhibitor ecosystem, the show defined the current state-of-the-art for all that is big data. If you missed the big event, O’Reilly Media has graciously made available the slides and videos for some of the presentations.
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.
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.”
“Big data techniques offer a way to analyze data pooled across many patients: their specific disease mutations, biological markers, the treatments, and outcomes — in order to identify unexpected ways that existing therapies can be applied and combined to create personalized treatments that dramatically improve the chances of survival.”
“Map-D uses multiple NVIDIA GPUs to interactively query and visualize big data in real-time. Map-D is an SQL-enabled column store that generates 70-400X speedups over other in-memory databases. This talk discusses the basic architecture of the system, the advantages and challenges of running queries on the GPU, and the implications of interactive and real-time big data analysis in the social sciences and beyond.”
Thanks to our friends at O’Reilly Media, we have been given one 2-day pass to give away for the upcoming Strata Conference on February 11-13, 2014 in Santa Clara. The rules are simple: Answer the question: “What Big Data super power would you want if you could only pick one.” Only enter the contest if […]