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Polina Koleva edited comment on IGNITE-3084 at 3/19/17 5:33 PM: ---------------------------------------------------------------- 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. -- This message was sent by Atlassian JIRA (v6.3.15#6346)