Bill is a senior marketing specialist based out of San Diego, CA. He’s been with SAS since 1991. The first 11 years in outside sales and the last 13 in marketing. Bill currently is responsible for marketing efforts surrounding the topic areas of big data and Hadoop.
Machine learning is not new. SAS has been doing it for over 20 years and some early machine learning papers date back to the 50’s. So why is it one of the hottest topics at the Strata Hadoop World conference later this week? Clearly, Hadoop is playing a major role
If a picture is worth a thousand words, then visualizing data in Hadoop would be like a billion. Over the last few years, organizations have rushed to leverage the low-cost distributed computing and storage power of Hadoop clusters. As Hadoop environments mature and move away from their initial focus of
As the big data era continues to evolve, Hadoop remains the workhorse for distributed computing environments. MapReduce has been the dominant workload in Hadoop, but Spark -- due to its superior in-memory performance -- is seeing rapid acceptance and growing adoption. As the Hadoop ecosystem matures, users need the flexibility to use either traditional MapReduce
Streaming analytics is a red hot topic in many industries. As the Internet of Things continues to grow, the ability to process and analyze data from new sources like sensors, mobile phones, and web clickstreams will set you apart from your competition. Event stream processing is a popular way to
