88% of organizations see Hadoop as an opportunity. Are you in?
Adding Hadoop to your big data mix? Now what? SAS provides everything you need to derive valuable insights from all that data. Extensive data management – because prepping data is hugely time consuming. Visual data discovery. In-memory processing. Sophisticated analytics. And the ability to quickly deploy the models that provide the best answers.
What do you need to succeed with Hadoop? Our eight-step checklist includes data preparation, in-memory analytics, data visualization and more.
Why is SAS uniquely qualified to help make sense out of data in Hadoop? Randy Guard, Vice President of Product Management at SAS, explains.
Randy Guard, Vice President of Product Management at SAS, discusses how the SAS strategy around Hadoop helps customers modernize their analytics initiatives.
What People Are Saying
"This is an era of visualization, so we should provide ranking officers and board members with eye-catching tables and charts that help them quickly grasp the meaning of the data provided and make informed decisions."
"SAS continues to be an analytics powerhouse. With a strategic focus on analytics since 1973, it is no surprise that SAS offers predictive analytics solutions that offer almost every feature a data scientist or business user could ever want."
Business Analytics in South Africa survey report
The best way to predict the future is to create it.