On-demand Webcast: Data go vroom! How to keep up with the volume, velocity, and variety of big data in real-time
In today’s world, you have to move fast to survive. No longer can companies afford the luxury of moving slowly, taking weeks or months to make decisions, plodding along as if no competitors stand a chance of getting in their way. Today, the slow organization has an easy-to-hit target painted on its back. For every opportunity (or weakness), there is an entire array of competitors just waiting to jump in and gobble up your opportunities.
Now, businesses need to be immediate, real-time, and even predictive. Fortunately, it’s now possible to get ahead of the game, sift through the ever-growing flood of data flowing in at an ever-increasing rate, and make decisions based on what’s happening right now, this minute.
CBS Interactive is proud to present “Data go vroom! How to keep up with the volume, velocity, and variety of big data in real-time,” a live and interactive webcast about how you can transform your business and take advantage of the enormous opportunities provided by managing large volumes of data in real-time.
- Learn about the how the flow of data is changing, vastly increasing in volume, velocity, and even the variety of data types that need to be managed
- Discover the latest data management technologies that make it possible (and even cost-effective) to manage epic quantities of data at truly astonishing speeds
- Explore the new types of applications and opportunities now possible when you can make decisions based on a real-time understanding of what’s happening, globally, at this very moment.
Don’t miss “Data go vroom! How to keep up with the volume, velocity, and variety of big data in real-time,” an on-demand webcast featuring CBS Interactive’s Distinguished Lecturer, David Gewirtz, author of The Flexible Enterprise, the classic book that served as a foundation for today’s agile business movement. Joining David is special guest Dan Kearnan, Senior Director of SAP HANA Marketing, at SAP. Just because the amount of data is enormous, that doesn’t mean your job has to be.