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Big Analytics for Python Users without Big Hassles: A Webinar about SciDB-Py

You want your analytics to just work.  You want to think about the analytics, not about parallelism, data formatting, and memory management.

Paradigm4 and Continuum Analytics present a webinar about SciDB-Py, a Python package that lets you remain a Python programmer, but expands the power of Python and Wakari (the Python Analytics Environment) with SciDB, the massively scalable array database.

Details:

  • Presenters: Bryan Lewis, Chief Data Scientist, Paradigm4; Peter Wang, President, Continuum Analytics; and Jake Vanderplas, Post-Doctoral Fellow, University of Washington
  • Time: Thursday 25 July 2013, 1:00 p.m. EDT (10:00 a.m. PDT)

Learn how SciDB-Py lets you work in your familiar Python programming environment to:

  • Use SciDB as a storage backend
  • Use SciDB to perform large computations on a cluster
  • Use SciDB to filter and join data before performing analytics
  • Use SciDB to share data among multiple users, all with ACID guarantees
  • Use SciDB to perform multidimensional windowing and aggregation
  • Use SciDB’s massively scalable analytical capabilities, including statistical methods, correlation, and dense and sparse linear algebra operations

Webinar Agenda:

  • Introduction to SciDB, SciDB-Py, and Wakari
  • Demo of SciDB-Py
  • Live Q&A

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Schedule a Demo