[jira] [Commented] (FLINK-2142) GSoC project: Exact and Approximate Statistics for Data Streams and Windows

["Márton Balassi (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/FLINK-2142?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14570785#comment-14570785 ] 

Márton Balassi commented on FLINK-2142:
---------------------------------------

Thanks, for adding the tickets to track your progress [~ggevay].

> GSoC project: Exact and Approximate Statistics for Data Streams and Windows
> ---------------------------------------------------------------------------
>
>                 Key: FLINK-2142
>                 URL: https://issues.apache.org/jira/browse/FLINK-2142
>             Project: Flink
>          Issue Type: New Feature
>          Components: Streaming
>            Reporter: Gabor Gevay
>            Assignee: Gabor Gevay
>            Priority: Minor
>              Labels: gsoc2015, statistics, streaming
>
> The goal of this project is to implement basic statistics of data streams and windows (like average, median, variance, correlation, etc.) in a computationally efficient manner. This involves designing custom PreReducers.
> The exact calculation of some statistics (eg. frequencies, or the number of distinct elements) would require memory proportional to the number of elements in the input (the window or the entire stream). However, there are efficient algorithms and data structures using less memory for calculating the same statistics only approximately, with user-specified error bounds.



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