Matei wrote (Jan 26, 2015; 5:31pm): "The intent of Spark SQL though is to be more than a SQL server -- it's meant to be a library for manipulating structured data."
I think this is an important but nuanced point. There are engineers who for various reasons associate the term "SQL" with business analyst, non-engineering scenarios. If Matei or someone from the Spark team could clarify this misunderstanding with respect to the potential of Spark SQL, it would be very useful. (Potential places: Quora, StackOverflow, Databricks.com's blog.) Thanks, Vu Ha CTO, Semantic Scholar http://www.quora.com/What-is-Semantic-Scholar-and-how-will-it-work -- View this message in context: http://apache-spark-developers-list.1001551.n3.nabble.com/renaming-SchemaRDD-DataFrame-tp10271p10612.html Sent from the Apache Spark Developers List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org For additional commands, e-mail: dev-h...@spark.apache.org
