From the recent Spark Summit 2016 in San Francisco, the video presentation below by Joseph K. Bradley of Databricks give focus to “Apache Spark MLlib 2.0 Preview: Data Science and Production.”
Intel Enterprise Edition for Lustre* Software has taken a leap toward greater enterprise capabilities and improved features for HPC with release of version 3.0. This latest version includes new security enhancements, dynamic LNET configuration support, ZFS snapshots, and other features asked for by the HPC community inside and outside the enterprise. Additionally, it adds the Intel Omni-Path Architecture drivers.
The compelling infographic below from our friends at NJIT shows just how much big data matters, and that there’s no question that the current trends moving into the future suggest that this will only continue.
The infographic below shows the results of a recent Pepperdata study of over 100 production Hadoop clusters to uncovered the eight most common and insidious symptoms of cluster flux. See how your cluster stacks up.
In this book review, I take a close look at the 5th edition of “Introduction to Linear Algebra” (Wellesley-Cambridge Press) by MIT mathematics professor Gilbert Strang. This book is a must-have for any serious data scientist.
insideBIGDATA is nearing the completion of its 2016 audience survey and we’d like to remind any of our remaining loyal readers to give us your thoughts so we can learn what’s important to you.
The infographic below summarizes the results of a new research report surveying 235 business executives – “Outlook on Artificial Intelligence in the Enterprise 2016” sponsored by Narrative Science.
Mu Sigma Unveils the “State of Analytics and Decision Science” Report, Uncovering Gaps and Trends in Data and Analytics
Mu Sigma, a leading global provider of decision science and big data analytics solutions, announced the results of its inaugural “State of Analytics and Decision Science” report, which identifies gaps and shortcomings in traditional approaches to analytics and problem solving.
Paxata, provider of the enterprise-grade self-service data preparation platform, announced the results of an industry study published by TDWI and sponsored by Paxata about the self-service data preparation market and its emerging role in accelerating the transformation of data to information.
Just one-third (33 percent) of CEOs have a high-level of trust in the accuracy of their Data & Analytics, a new KPMG survey has found, and 29 percent have limited trust or active distrust of their organization’s use of D&A.