Hadoop Summit 2014 – San Jose

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Hortonworks and Yahoo! are pleased to host the 7th Annual Hadoop Summit, the leading conference for the Apache Hadoop community. This event, expanded now to three days, June 3-5, will feature many of the Apache Hadoop thought leaders who will showcase successful Hadoop use cases, share development and administration tips and tricks, and educate organizations about how best to leverage Apache Hadoop as a key component in their enterprise data architecture.

Informatica at Hadoop Summit

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Informatica Corporation (Nasdaq:INFA), a leading provider of data integration software, will debut Informatica Power Center Big Data Edition and Data Quality Big Data Edition running on the newly announced Hortonworks Data Platform (HDP) 2.1 at Hadoop Summit 2014.

Chief Data Officer Summit – Data Strategy Innovation

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The Chief Data Officer Summit brings together top data leaders for two days of interactive learning and unparalleled networking opportunities. Discover how to deliver breakthrough results by strengthening the CDO function in your company. This event is brought to you by The Innovation Enterprise, May 23 & 23 in San Francisco.

TEXATA Big Data Analytics World Championships 2014

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The 2014 Texata Big Data Analytics World Championships in October 2014 is a competition for students and professionals to develop and test their Big Data Analytics skills against their friends, colleagues and top data experts from around the world.

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.”