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https://issues.apache.org/jira/browse/SPARK-20267?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Kevin Mc Inerney updated SPARK-20267:
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Shepherd: Reynold Xin
> Dataset should be camel-cased to match DatFrame
> -----------------------------------------------
>
> Key: SPARK-20267
> URL: https://issues.apache.org/jira/browse/SPARK-20267
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.0.0, 2.0.1, 2.1.0
> Reporter: Kevin Mc Inerney
> Priority: Minor
> Original Estimate: 48h
> Remaining Estimate: 48h
>
> SInce a Dataset is a typed DataFrame it doesn't maker sense that DataFrame is
> camel-cased and Dataset is not. I think they should both be camel-cased to
> avoid confusion.
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