Mammoth Data, a leader in Big Data consulting, today announced the findings of its comprehensive cloud solution benchmark study, which compares Google Cloud Dataflow and Apache Spark.
Adaptive Insights, a leader in cloud corporate performance management (CPM), released its global CFO Indicator Q1 2016 report, revealing that while chief financial officers (CFOs) remain worried about growing economic volatility, the vast majority of the 377 CFOs surveyed remain confident in their forecasts, and believe that the combination of big data, analytics, and scenario planning will likely be the key to navigating their organizations through the current financial uncertainty.
MapR Announces Free Stream Processing On-Demand Training for Real-time Analytics and IoT Applications
MapR Technologies, Inc., provider of the Converged Data Platform, announced at Kafka Summit 2016 it is now offering stream processing training via MapR Academy’s free On-Demand Training program. The new training enables Apache Kafka developers to extend their real-time analytics and Internet of Things (IoT) applications.
The insideBIGDATA Guide to Streaming Analytics is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting new area of technology. Many enterprises find themselves at a key inflection point in the big data timeline with respect to streaming analytics technology.
This year, ODSC is growing to bring together 2,500+ of the best and brightest at ODSC East in Boston! There will be 20+ workshops, 10+ training sessions, & 100+ speakers! Not to mention a career fair with top-notch companies ready to hire!
Our friends over at Springboard just released a compelling new infographic that highlights the different roles within data science along with the different skill sets required for them.
As IoT products gain consumer acceptance – from connected watches to coffee makers to cameras to thermostats to engines to drills and more– the new report from Argus Insights reveals that market conversations are heavily concentrated around Big Data concerns.
The presentation below by Derek Kane provides an overview of clustering techniques, including K-Means, Hierarchical Clustering, and Gaussian Mixed Models.
A new book, “ Why: A Guide to Finding and Using Causes ,” by Stevens Institute of Technology assistant professor of computer science Samantha Kleinberg is a necessary addition to any data scientist’s bookshelf as it helps bring focus to the dreaded “correlation does not imply causation” conundrum that affects our understanding of data-centric problems.
In this special technology white paper, The Lambda Architecture Simplified, you’ll learn about how the Lambda Architecture aims to satisfy the needs for a robust system that is fault-tolerant, both against hardware failures and human mistakes, being able to serve a wide range of workloads and use cases, and in which low-latency reads and updates are required.