WEBINAR: How to do Big Analytics without Big Hassles

WHAT:       

Complex analytics should work as nimbly on extremely large data sets as on small ones. You shouldn't have to think about parallelism, whether your data fits in-memory or formatting data for math packages. You should be able to use your favorite analytical language and have it transparently scale up to Big Data volumes. Paradigm4 presents a webinar about SciDB—the massively scalable, open source, array database with native complex analytics that is easily integrated with R and Python.

Attending this webinar, you will learn how SciDB enables you to:

• Explore rich data sets interactively
• Do complex math in-database—without being constrained by memory limitations
• Perform multi-dimensional windowing, filtering, and aggregation
• Offload large computations to a commodity hardware cluster—on-premise or in a cloud
• Use R and Python to analyze SciDB arrays as if they were R or Python objects
• Share data among users with multi-user data integrity guarantees and version control

WHO:       

Bryan Lewis, Paradigm4's chief data scientist, will lead attendees through an introduction and demonstration of SciDB and conduct a live Q&A session.

WHEN:      

Tuesday, Nov. 12 at 1 p.m. EST

WHERE:     

To register for and attend the WebEx webinar, please click here. The password for this event is "SciDB."