Analytics and machine learning continue to be the top use cases for deploying big data platforms such as Hadoop. SAS recognised the potential and power of Hadoop platform early on and has been integrating analytical solutions with Hadoop to leverage the power and flexibility of Hadoop for analytical workloads. The combination of SAS and Hadoop offers developers and organisations an approach that can accelerate the development and deployment of big data analytics applications that are mature, proven and scalable. Furthermore, by giving developers and analysts analytical applications that are rich, proven and collaborative, SAS allows more users across different skill levels to unleash the value of data stored in big data platform more easily and quickly.
In this session, we will cover common big data analytics use cases, the depth and breadth of SAS analytical capabilities on Hadoop, and how SAS solutions are integrated into the Hadoop ecosystem via technologies such as Hive, YARN and Spark.
Speaker
Felix Liao, SAS Institute Australia & New Zealand