Keeping up with 2016 Trends in Cybersecurity, and Data Breach Investigations Report

As an industry we have all learned that the landscape of information security evolves rapidly. From attack vectors to the KPI/statistics which really matter for security professionals and leaders change and requires a consistent refresh. I usually refer to Trends in Cybersecurity and Verizon'€™s Data Breach Investigations Report to keep up with a consolidated overview of such findings. Microsoft's Trends...

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Apache Spark on Azure HDInsight - My Talk @ Tampa Bay Data Science Group

Last week Microsoft has announced that Apache Spark on Azure HDInsight (Microsoft’s managed Hadoop and Spark cloud service) is now generally available. I spoke to Tampa Bay Data Science Group last night regarding Apache Spark on Azure HDInsight and the associated offerings. Spark for Azure HDInsight offers customers an enterprise-ready Spark solution that’s fully managed, secured, and highly available...

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Data Science Hackathon

Online Data Science Hackathon - Apache Spark Maker Build This is a Global On-line Hackathon that Begins May 23, 2016 and Ends August 3, 2016.  Submissions Due August 3rd By 5:00 Pm Est. Build an Apache Spark application to address a real business problem or core concern related to customer care, marketing, risk management or...

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Exploring Spark with Data Science Work bench

Apache Spark is a general purpose cluster computing platform which extends map-reduce to support multiple computation types including but not limited to stream processing and interactive queries. Last week IBM's Moktar Kandil presented at the Tampa Hadoop and Tampa Data Science Group Joint meetup on the topic of exploring Apache Spark. Apache Spark for Azure HD-Insight Following are...

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State of Facial Recognition (Azure Face API et al) & Sentiment Analysis

Sam just wrote a precis on Why Facial Recognition Is the Next Big Thing in Marketing which outlines how brands are / can use the facial recognition to increase engagement, and therefore sales. From a machine learning and data science perspective, building algorithms which understand what one's face is really saying i.e. performing emotion analysis to find insight into purchasing patterns...

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