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From "ASF subversion and git services (Jira)" <j...@apache.org>
Subject [jira] [Commented] (SOLR-13105) A visual guide to Solr Math Expressions and Streaming Expressions
Date Tue, 03 Sep 2019 00:31:00 GMT

    [ https://issues.apache.org/jira/browse/SOLR-13105?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16921091#comment-16921091
] 

ASF subversion and git services commented on SOLR-13105:
--------------------------------------------------------

Commit ff4404412ee44d14e76e017ba6fec99e1b69310f in lucene-solr's branch refs/heads/SOLR-13105-visual
from Joel Bernstein
[ https://gitbox.apache.org/repos/asf?p=lucene-solr.git;h=ff44044 ]

SOLR-13105: Revamp simulations docs 4


> A visual guide to Solr Math Expressions and Streaming Expressions
> -----------------------------------------------------------------
>
>                 Key: SOLR-13105
>                 URL: https://issues.apache.org/jira/browse/SOLR-13105
>             Project: Solr
>          Issue Type: New Feature
>            Reporter: Joel Bernstein
>            Assignee: Joel Bernstein
>            Priority: Major
>         Attachments: Screen Shot 2019-01-14 at 10.56.32 AM.png, Screen Shot 2019-02-21
at 2.14.43 PM.png, Screen Shot 2019-03-03 at 2.28.35 PM.png, Screen Shot 2019-03-04 at 7.47.57
PM.png, Screen Shot 2019-03-13 at 10.47.47 AM.png, Screen Shot 2019-03-30 at 6.17.04 PM.png
>
>
> Visualization is now a fundamental element of Solr Streaming Expressions and Math Expressions.
This ticket will create a visual guide to Solr Math Expressions and Solr Streaming Expressions
that includes *Apache Zeppelin* visualization examples.
> It will also cover using the JDBC expression to *analyze* and *visualize* results from
any JDBC compliant data source.
> Intro from the guide:
> {code:java}
> Streaming Expressions exposes the capabilities of Solr Cloud as composable functions.
These functions provide a system for searching, transforming, analyzing and visualizing data
stored in Solr Cloud collections.
> At a high level there are four main capabilities that will be explored in the documentation:
> * Searching, sampling and aggregating results from Solr.
> * Transforming result sets after they are retrieved from Solr.
> * Analyzing and modeling result sets using probability and statistics and machine learning
libraries.
> * Visualizing result sets, aggregations and statistical models of the data.
> {code}
>  
> A few sample visualizations are attached to the ticket.



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