The Future of Unstructured Data Workloads

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In this video from the OpenFabrics International Developer Workshop 2014, Tashneem Maistry from Pivotal presents: The Future of Unstructured Data Workloads.

Cloudera Sessions: Inside Track to Big Data

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Last week I went on an excursion away from my Silicon Beach base of operation to downtown Los Angeles in order to take in the Cloudera Sessions tech event. I think it is a good strategy for a company like this to increase brand awareness in an ever-crowded Hadoop distribution marketplace.

DK Panda Presents: Big Data – Hadoop and Memcached

DK Panda

“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. Designs for various components in Hadoop (such as HDFS, MapReduce, RPC, and HBASE) and their benefits based on the RDMA package for Apache Hadoop will be presented. RDMA-based design for scalable Memcached (used in Web 2.0) and the associated benefits will be presented.”

Extending the R Language to the Enterprise

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Earlier this week, I attended a very informative event sponsored by the LA RUG (Los Angeles R User Group meetup) that featured the topic “Extending the R language to the enterprise with TERR & Spotfire.”

Demo: MapD Wins the Day with GPUs for Big Data at GTC 2014

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In this video from GTC 2014, Todd Mostak from MapD demonstrates the company’s GPU-powered in-memory relational database software for Big Data. The Cambridge, Mass., based startup has built a high-speed GPU in-memory database that brings interactivity to big data. It can, for example, track more than a billion tweets worldwide at a time – and provide real-time visual analysis of the data. MapD was also announced as the winner of the GPU Technology Conference’s Early Stage Challenge this year, and they will be coming home with a cool $100,000 check.

Video: Sqream Technologies Powers Big Data Insight with GPUs

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In this video from the GPU Technology Conference 2014, Ami Gal from Sqream Technologies describes the company’s innovative Big Data processing technology. “Can you compare the technology of today with the technology of tomorrow? Yes, with SQream Technologies you can. This is because SQream Technologies uses GPUs to capture, store and process Big Data within seconds, resulting in 100x faster insights. Big Data analytics, once considered unattainable, can now be achieved in a matter of seconds with SQream’s hassle-free, robust analytic database.”

An Overview of Hulu’s Data Platform

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Last night I attended the Los Angeles Hadoop users Group (LA-HUG) meeting hosted by Shopzilla. The topic for the evening was “An Overview of Hulu’s Data Platform” presented by Prasan Samtani and Tristan Reid of Hulu. From all indications, Hulu is a significant player in the Hadoop user community and this talk documented the team’s command of big data technology.

Interview: SAS Reveals In-Memory Data Analytics for Hadoop

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“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.”

Strata Conference 2014 Slides and Videos

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.

Rich Brueckner to Present at Technology Convergence Conference

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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.”