SAS support for Hadoop is centered on a single goal: helping you know more – faster – so you can make better decisions.
Beyond accessing a tidal wave of data, SAS creates seamless and transparent access to more Hadoop capabilities, such as the Pig and Hive languages and the MapReduce framework. SAS also provides the foundation for a richer visual and interactive Hadoop experience, making it easier to gain insights and discover trends.
In this session, we'll cover the basics of SAS and Hadoop, including how to:
- Move files to and from HDFS.
- Analyze data stored in Hadoop with SAS.
- Set up the SAS/ACCESS® Interface to Hadoop™ engine and query with Hive.
- Execute MapReduce from SAS.
Jeff Bailey leads the Enterprise Data Access Technology Product Management group at SAS. He is charged with championing SAS/ACCESS. Previously, he has held positions in SAS' Global Technology Practice, Professional Services and Research and Development. Bailey is a noted expert, educator and frequent speaker on SAS and relational database technology.