Leverage the LinkedIn Economic Graph for your innovative and ambitious ideas for increasing economic value and gaining insights into economic opportunities using LinkedIn data and support. Proposals due Dec. 15.
Self-service will be the most powerful market force in data discovery, with mobile support almost as critical. Currently Datameer and Tableau are the best-positioned data-discovery suppliers. Splunk, MicroStrategy, and SiSense are also strong, and Roambi is on the radar.
9781449311155 - Jenkins: The Definitive Guide - Learn how to automate your build, integration, release and deployment process with Jenkins, the popular Java-based open source tool that has revolutionized the way teams think about continuous integration (CI). This concise guide shows you how to seamlessly include Jenkins in the development process—and demonstrates how CI can save you time, money, and many headaches.
Much of the conversation surrounding the cloud storage industry today is centered on managing the demands of big data. Yet the real story may well be how cloud technology vendors are moving to better search and organize the vast amount of data collected by Fortune 500 companies on a daily basis, and the potential problems this trend may cause for cloud storage firms such as Box or Dropbox.
I’ve written much in this space, and on the Gigaom blog, about YARN and its impact on how Hadoop will be used. Not very long ago, Hadoop was synonymous with the MapReduce algorithm and non-interactive batch processing. With YARN, Hadoop has morphed into a general purpose distributed processing and distributed storage system. To that, we may…
)--H2O announced today the introduction of Sparkling Water, the latest innovation to combine two best-of-breed open source technologies Apache Spark and H2O. Sparkling Water is the newest application on the Apache Spark in-memory platform to extend Machine Learning for better predictions and to quickly deploy models into production. H2O is proud to partner...
There's some sort of inflection point where a "long read" becomes an "epic article."
I'm not quite sure where that inflection point is, but I'm certain that Jay Kreps's article: The Log: What every software engineer should know about real-time data's unifying abstraction is on the "epic article" side of that dividing line.
Kreps starts out with a history of how database implementations have...
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