Today's businesses are challenged to analyze massive data volumes with great speed and efficiency with the hope of finding competitive advantage, strategic imperatives, or a random nugget of business gold. As a result, the interest in “real-time” analytics, or what people think of as “real-time” analytics, is at an all time high. “I need to know now,” is the big data challenge we are all currently facing.
This Data Science Central webinar drives the “real-time” discussion with industry thought leaders regarding:

- the definition of the term or category
- the tools that are purpose-built or ideal
- the likely datasets or data types most relevant
- web analytics, network analytics, mobile analytics, and machine-generated data versus business data

Webinar Participants include:
Richard Snee, Data Science Central - Host/Moderator
Vincent Granville, Analytic Bridge
Stephen Sorkin, Splunk
David Menninger, EMC Greenplum, formerly of Ventana Research
Joseph Hellerstein, Professor, UC Berkeley