[jira] [Commented] (BIGTOP-1366) Updated, Richer Model for Generating Data for BigPetSore

["RJ Nowling (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/BIGTOP-1366?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14053681#comment-14053681 ] 

RJ Nowling commented on BIGTOP-1366:
------------------------------------

Current work on the alternative model can be tracked here:

https://github.com/rnowling/bigpetstore-data-generator

To view the iPython Notebook directly, look here:

http://nbviewer.ipython.org/github/rnowling/bigpetstore-data-generator/blob/master/notebooks/MonteCarloExample.ipynb

> Updated, Richer Model for Generating Data for BigPetSore 
> ---------------------------------------------------------
>
>                 Key: BIGTOP-1366
>                 URL: https://issues.apache.org/jira/browse/BIGTOP-1366
>             Project: Bigtop
>          Issue Type: Improvement
>    Affects Versions: backlog
>            Reporter: RJ Nowling
>            Priority: Minor
>   Original Estimate: 8,736h
>  Remaining Estimate: 8,736h
>
> BigPetStore uses synthetic data as the basis for its workflow.  BPS's current model for generating customer data is sufficient for basic testing of the Hadoop ecosystem, but the model is very basic and lacks sufficient complexity for embedding interesting patterns into the data.  As a result, more complex testing such as testing clustering algorithms in Mahout on non-trivial data are not possible.
> Efforts are currently underway to incrementally improve the current model (see BIGTOP-1271 and BIGTOP-1272).  However, to create a model that can that incorporates realistic patterns and input data to generate rich customer/transaction data with interesting correlations will require a re-imagining of the current model and its model's framework.
> To support the improvements to the model in BigPetStore, I have been working on an alternative ab initio model, developed from scratch. Since the development of a new model involves substantial R&D work with more specialized tools (mathematical and plotting libraries), I'm doing the current work outside of BPS using the iPython Notebook environment.  Due to the long time frame, the model will be developed on a separate timeline to prevent slowing the development of BPS.  
> Once the model has stabilized, I will begin incorporating the model into BPS itself.  One option is to implement the model in Spark using Scala as a foundation for Spark support in BPS.



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