Predictive Analytics & Machine Learning                 ...with SAS and Apache Hadoop

Join Us On Tuesday, July 8, 10am PDT

Apache Hadoop continues as a central player for big data in the enterprise. Providing to be a natural platform with which enterprise IT can now apply data science to a wide variety of business problems such as product recommendation, predictive analytics, and sentiment analysis.

Join us for this interactive webinar, as we walk through use cases on how you can use SAS® In-Memory Statistics for Hadoop and SAS® Visual Analytics with Hortonworks Data Platform (HDP) to glean Big Data insights and redefine how your organization can solve complex Data Science problems. Hortonworks and SAS together offers unprecedented speed and flexibility - critical requirements for finding actionable knowledge in massive amounts of data stored in Hadoop.

During this webinar, we’ll discuss:

  • Trends, drivers and benefits of using Big Data for data scientist
  • Provide best practices on how Apache Hadoop and SAS advanced analytics helps data scientist work with big data
  • How Data Scientists can prepare, process, explore and model multiple scenarios using huge data volumes to generate accurate and rapid insights that were not possible before

About Wayne Thompson

Wayne Thompson is Chief Data Scientist at SAS. He is described as one of the early pioneers of business predictive analytics and is globally renowned presenter, teacher, practitioner and innovator in the field of predictive analytics technology. He has worked alongside the world's biggest and most challenging organizations to help them harness analytics to build high performing organizations. Over the course of his 20-year tenure at SAS he has been credited with bringing to market landmark SAS analytics technologies (SAS Text Miner, SAS Credit Scoring for Enterprise Miner, SAS Model Manager, SAS Rapid Predictive Modeler, SAS Scoring Accelerator for Teradata, and SAS Analytics Accelerator for Teradata). Current focus initiatives include easy to use self-service data mining tools for business analysts, decision management and massively parallel high performance analytics.


About Ofer Mendelevitch

Ofer Mendelevitch is Director of Data Sciences at Hortonworks, where he is responsible for professional services involving data science with Hadoop, including use-cases like recommender systems, prediction, classification and search. 

Prior to joining Hortonworks, Ofer served as Entrepreneur in Residence at XSeed Capital where he developed an investment strategy around big data. Before XSeed, Ofer served as VP of Engineering at Nor1, and before that he was Director of engineering at Yahoo! where he led multiple engineering and data science teams responsible for R&D of large scale computational advertising projects including CTR prediction (with Hadoop), a new front-end ad-serving system and sales tools.


Ofer Mendelevitch, Dir. of Data Science Hortonworks

Wayne Thompson, Chief Data Scientist         SAS