The definition of "Big Data" varies widely, e.g., involving "structured", "unstructured" and "semi-structured" data, or revolving around the 4 V's: volume, velocity, variety, and value. However it is defined, companies need tools that allow them to analyze and manipulate large volume data of various types whether from operational systems, data warehouses, social media sites, or smart-meter sensors.
Oracle's R technologies enable R users to solve big data problems while remaining in the R language and environment. R users gain benefits from Oracle Database and Exadata as a high performance compute engine, and Oracle Big Data Appliance as a platform for Hadoop map-reduce computing. In this talk, we'll examine some big data business problems that use advanced analytics, data-parallel and task-parallel execution, and Hadoop-based scalability - all enabled with Oracle's R Technologies.
Mark Hornick is a Director in the Oracle Database Advanced Analytics engineering team, focusing on Oracle R Enterprise (ORE), Oracle R Connector for Hadoop (ORCH), and Oracle R Distribution (ORD). Mark works with internal and external customers in the application of R for scalable advanced analytics applications involving Oracle Database, Exadata, and the Big Data Appliance. Mark is co-author of the Oracle Press books "Oracle Big Data Handbook" and "Using R to Unlock the Value of Big Data." He also conducts training sessions on R, ORE, and ORCH worldwide, and has presented at conferences including Oracle OpenWorld, Collaborate, BIWA Summit, and the R user conference useR!. He joined Oracle in 1999 through the acquisition of Thinking Machines Corp. Mark holds a Bachelor’s degree from Rutgers University and a Master’s degree from Brown University, both in Computer Science.