(Recorded on December 11, 2013)

Sponsored by

Description:

Researchers and analysts just want to do fast, interactive exploratory analytics—without regard for the size, heterogeneity, or complexity of the data.

Big Data solutions generally don’t support the mathematical sophistication needed by bioinformaticians and healthcare researchers. Analysts are forced to think about selecting data, about whether their data fits in memory, about parallelism, and about formatting and transporting data into a math package.

There’s another way, one that lets analysts readily share, access, and analyze rich data as well as use their favorite analytical languages 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, integrated with R and Python—for bioinformatics and healthcare informatics problems.

Learn how SciDB lets you:

• Explore multi-dimensional data sets interactively
• Do complex math in-database—without being constrained by memory limitations
• 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

Speakers include:

	Professor Simon Kasif, Ph.D. Biomedical Engineering, Boston University kasif@bu.edu
	Bryan Lewis, Ph.D. Applied Math Chief Data Scientist, Paradigm4 blewis@paradigm4.com
	Alex Poliakov Solutions Architect, Paradigm4 apoliakov@paradigm4.com