I am working with a lot of geospatial data and big data sets that need analysis and interpretation. Can you point me to best practices on doing this.
We have started a project Magellan to bring Geo Spatial analytics to Spark
See details at http://hortonworks.com/blog/magellan-geospatial-analytics-in-spark/
You can also find more details at this meetup t http://hortonworks.com/events/magellan-geospatial-analytics-on-spark-and-the-mobile-majority-use-cas...
We also talked about it at Spark Summit EU - https://spark-summit.org/eu-2015/events/magellan-geospatial-analytics-on-spark/
Magellan slides are at http://www.slideshare.net/SparkSummit/magellen-geospatial-analytics-on-spark-by-ram-sriharsha
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@David Kaiser notice that hive UDF/UDAF/UDTF are compatible with Spark SQL API, so hive ESRI library would be great with Spark SQL as well.