Ready to take a deeper look at how Hadoop and its ecosystem has a widespread impact on analytics? Douglas Liming explains where SAS fits into the open ecosystem, why you no longer have to choose between analytics languages like Python, R, or SAS, and how a single, unified open analytics architecture empowers you to literally have it all.
Doug details a case study involving one of the world’s largest health agencies. Dependent on donations and fundraising efforts, this agency suffered under the weight of data silos and data quality issues. Answering relevant business questions was both difficult and time consuming. With help from SAS and an open analytics ecosystem, the company now makes data-driven decisions based on previously undetectable patterns in data; as a result, employees spend less time generating reports, allowing more staff to work directly with patients, researchers, donors, and participants.
Doug also explores how embracing Docker container technology can help you provide a flexible infrastructure with all the tools and methods you need in one place. Join in to learn how strategic placement of containers helps push work inside the Hadoop cluster, minimizing data movement, minimizing time to insight, and maximizing the value of robust analytics.
This session is sponsored by SAS.
As an enterprise architect, Douglas Liming leverages his 19 years of SAS experience to design cradle-to-grave enterprise analytic infrastructures. His solutions address data extraction and manipulation through predictive analytics with SAS at their core, focusing on Hadoop at the epicenter. In addition to sales support and enablement, Doug provides support for complex POCs where deep knowledge of various Hadoop distributions and virtualized hardware help to highlight the value of big data and SAS analytics. Active in the Executive Briefing Center, he is also a leader for various business analytics modernization assessments (BAMAs). His first 17 years at SAS were spent in R&D, working to integrate SAS with numerous data sources for data mining. Doug enjoys explaining how SAS and open source compliment each other. Skilled at breaking down the hype, he excels at simplifying highly technical topics and conversations so that nontechnical audiences can be involved in the discussion. He holds a BS in computer science from the University of North Carolina at Wilmington, where he ran Division I cross country and track. As a Linux enthusiast, he currently runs Fedora 23 on his laptop and uses Fedora 21 as his primary desktop.
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