In this video from the 2016 HPC User Forum in Austin, John Feo from PNNL presents: Why use Tables and Graphs for Knowledge Discovery System? “GEMS software provides a scalable solution for graph queries over increasingly large data sets. As computing tools and expertise used in conducting scientific research continue to expand, so have the enormity and diversity of the data being collected. Developed at Pacific Northwest National Laboratory, the Graph Engine for Multithreaded Systems, or GEMS, is a multilayer software system for semantic graph databases. In their work, scientists from PNNL and NVIDIA Research examined how GEMS answered queries on science metadata and compared its scaling performance against generated benchmark data sets. They showed that GEMS could answer queries over science metadata in seconds and scaled well to larger quantities of data.”
The insideBIGDATA Guide to Healthcare & Life Sciences is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting new area of technology. The guide provides an overview of the utilization of big data technologies as an emerging discipline in healthcare and life sciences. It explores the characteristics of this business strategy and the benefits of leveraging big data technologies within these sectors. It also touches on the challenges and future directions of big data and analytics in the healthcare and life sciences industries.
New Lightbend Survey of 2,000 Java and Scala Developers Reveals Shake-Up In Enterprise Application Architecture
Lightbend (formerly Typesafe), the company behind the Reactive Platform that includes the Akka, Play and Lagom Frameworks as well as the Scala programming language, announced the results of a new survey of 2,151 Java Virtual Machine (JVM) developers and IT professionals.
In this presentation, Matthew Zeiler, Ph.D., Founder and CEO of Clarifai Inc, speaks about large convolutional neural networks. These networks have recently demonstrated impressive object recognition performance making real world applications possible.
With the continued upward trajectory of interest in getting on board with a data science career, our friends over at Simplilearn Solutions put together the compelling infographic below.
Last year, I wrote a review of a useful book that got students up to speed with a key mathematical ingredient of machine learning – linear algebra: The Manga Guide to Linear Algebra. No Starch Press (an excellent source of technical books) just came out with a follow-up title: The Manga Guide to Regression Analysis.
Our friends over at Springboard just released a compelling new infographic that highlights some salary metrics with different data professional roles.
Our friends over at Bit Stew Systems, developer of a data intelligence platform for solving the data integration challenge in the Industrial Internet of Things (IIoT), released the findings of a Quick Pulse survey by IDG Research of senior IT executives.
In the Google TechTalk video presentation below, luminary Jeff Dean discusses the use of Deep Learning at Google – “Large-Scale Deep Learning for Intelligent Computer Systems.”
insideBIGDATA would like to introduce all our loyal readers to the just launched 2016 audience survey. Our goal is to reach out to our rapidly growing readership to find out what’s important to you. The survey covers a wide range of topics that will help us tailor our content to better suit your needs.