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.
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
Shift. Accelerate. Discover. Register here.
