I recently shared with you my 2013 industry predictions. With the anticipated increase in streaming data, social data, big data BI and analytics and the growing focus on Hadoop clusters, one thing is certain: big data is here to stay. Knowing how to best tackle that data while maintaining brand
Big data has been a hot topic recently, but more often than not the topic is covered from an IT perspective. What do the analysts, data miners and statisticians think? I recall the old days discussing with statisticians what data mining is and how it fundamentally differs from statistics. In
A current media hype phrase used to describe the ever-growing volume and size of corporate information is "big data." SAS hosts an annual series of business leadership conferences that bring together industry thought leaders, innovators, world leaders, challengers and inspirational speakers to discuss the dynamics needed for a competitive future.
A lot of ink is being spilled over Steve Jobs leaving Apple. Okay here is a little more. Some of my younger friends and colleagues are surprised I have purchased an iPad. Apparently, to younger folk, most persons of my advanced years seem technologically challenged. But I learned a valuable
The promise of high-performance analytics, as I understand it, is this: Regardless of how you store your data or how much of it there is, complex analytical procedures can still access that data, conduct a series of calculations on that data and provide answers quickly, accurately and using the full
Rome was not built in a day. Similarly, high-performance analytics is a product of many cumulative architectural, computational and analytical advances. The ability to solve complex business problems by applying algorithms from multiple disciplines to increasingly large volumes of data of all types - both structured and unstructured - is
