As the speed of business accelerates, organizations are producing increasingly vast volumes of high velocity data in a variety of formats. Previously, organizations have had to resort to capturing, storing, and attempting to extract insights from data warehouses, after-the-fact. Organizations are now beginning to realize the benefits of being able to continuously analyze data as it is captured, in real-time – and take immediate action. The challenge lies in the fact that few organizations have the tools to analyze and immediately act on streaming data. In fact, in a recent survey, although 41% of the respondents stated that the ability to analyze and act on streaming data in minutes was critical, 67% admitted to not having the infrastructure to support that goal.
Join the Vitria Product Team as they demonstrate and discuss:
- What is streaming analytics?
- How does it compare with Hadoop, BI, and other Big Data analytics solutions?
- What kinds of business problems are best addressed with streaming analytics? Live demonstration of how to uncover, analyze, and act on insights – from streaming data
- Architectural best practices to support both BI and streaming analytics
Presenters:
Dale Skeen, Co-Founder & CTO,Vitria
Rajiv Onat, Director of Product Management, Vitria
Date/Time: Thursday, May 8th, 8 am PDT / 11 am EDT / 4 pm UK Time
