The video below comes to us from the Strata Conference 2014: How Companies are Using Spark, and Where the Edge in Big Data Will Be. While the first big data systems made a new class of applications possible, organizations must now compete on the speed and sophistication with which they can draw value from data. […]
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.
H2O, the open source in-memory machine learning and predictive analytics company for big data, announced a partnership with Cloudera, a leader in enterprise data management powered by Apache™ Hadoop.
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.”
Data transformation platform provider Trifacta today announced the general availability of the Trifacta Data Transformation Platform.
The father of the S language which ultimately became R, Dr. John Chambers, sits down with Professor Trevor Hastie of the Stanford University Statistics Department to discuss the long and fascinating history of the R language.