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https://issues.apache.org/jira/browse/IGNITE-3084?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15931844#comment-15931844
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Polina Koleva edited comment on IGNITE-3084 at 3/19/17 5:33 PM:
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HI,
I am Polina, master student, 2nd year at University of Freiburg, Germany. I
wish to participate in gsoc 2017 and I find this Jira Task interesting. I have
already worked on a master project with Spark, Hadoop and Hive. Moreover, I
have been working as a part-time Java developer since 2013. Unfortunately, I do
not have any experience working with Ignite. Can you provide any advice or a
good starting point to understand more about this issue?
was (Author: polinank):
HI,
I am Polina, master student, 2nd year at University of Freiburg, Germany. I
wish to participate in GSOC -2017 and I find this Jira Task interesting. I have
already worked on a master project with Spark, Hadoop and Hive. Moreover, I
have been working as a part-time Java developer since 2013. Unfortunately, I do
not have any experience working with Ignite. Can you provide any advice or a
good starting point to understand more about this issue?
> Spark Data Frames Support in Apache Ignite
> ------------------------------------------
>
> Key: IGNITE-3084
> URL: https://issues.apache.org/jira/browse/IGNITE-3084
> Project: Ignite
> Issue Type: Task
> Components: Ignite RDD
> Affects Versions: 1.5.0.final
> Reporter: Vladimir Ozerov
> Assignee: Valentin Kulichenko
> Labels: bigdata, gsoc2017
> Fix For: 2.0
>
>
> Apache Spark already benefits from integration with Apache Ignite. The latter
> provides shared RDDs, an implementation of Spark RDD, that help Spark to
> share a state between Spark workers and execute SQL queries much faster. The
> next logical step is to enable support for modern Spark Data Frames API in a
> similar way.
> As a contributor, you will be fully in charge of the integration of Spark
> Data Frame API and Apache Ignite.
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