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Introducing D4M with Baseball analytics

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d4m_Baseball
============
This is a demo script with a self-contained and tested Matlab script showing the power of [D4M](http://www.mit.edu/~kepner/D4M/) on historical Baseball data.  There are three parts:

1. **Parsing** data into a form ready for ingestion
2. **Ingesting** data into memory or an [Accumulo](http://accumulo.apache.org/) Table
3. **Querying** data to answer several questions of interest

The goal is to provide a complete, well-documented example demonstrating how to use D4M for data analysis on a data set of manageable size.  The techniques presented will scale to true *big data* scenarios.

### Accumulo-side illustration
Please check out [David's project here](https://github.com/medined/D4M_Schema) for a lower level perspective of how the D4M Schema works from Accumulo mutation logs.

### Sources ###
[D4M is available](http://www.mit.edu/~kepner/D4M/gpl.html) open source under the [GPLv2](http://www.gnu.org/licenses/gpl-2.0.html) license.

The data source is the [Sean Lehman baseball data set, 2012 version](http://seanlahman.com/files/database/lahman2012-csv.zip), released under the [CC BY-SA 3.0](http://creativecommons.org/licenses/by-sa/3.0/) license.

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