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SciDB: Big Analytics without Big Hassles: In-Database Scalable R and Python, Apr 10


Next advance in analytical databases from renowned database researcher Mike Stonebraker - watch April webinar 10 about SciDB - open source, array database with native scalable complex analytics, programmable from R and Python.



SciDB Using the next advance in analytical databases from renowned database researcher Mike Stonebraker

Data scientists just want to do fast, interactive exploratory analytics on all kinds of data-without thinking about whether data fits in-memory, about parallelism, force-fitting it into a table, or pulling it out of a file and formatting it for math packages. You'd also like to use your favorite analytical language and have it transparently scale up to Big Data volumes.

Paradigm4 presents a webinar about SciDB - the open source, array database with native scalable complex analytics, programmable from R and Python.

When: Thursday, April 10th, 2014 at 1pm EST

Presenters:
  • Bryan Lewis, Chief Data Scientist
  • Alex Poliakov, Solutions Architect

 
Learn how SciDB enables you to:
  • Explore rich data sets interactively
  • Do complex math in-database-without being constrained by memory limitations
  • Perform fast 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

 

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