Hi all, We've been evaluating Spark for a long-term project. Although we've been reading several topics in forum, any hints on the following topics we'll be extremely welcomed:
1. Which are the data partition strategies available in Spark? How configurable are these strategies? 2. How would be the best way to use Spark if queries can touch only 3-5 entries/records? Which strategy is the best if they want to perform a full scan of the entries? 3. Is Spark capable of interacting with RDBMS? Thanks a lot! Best regards, -- *Gonzalo Zarza* | PhD in High-Performance Computing | Big-Data Specialist | *GLOBANT* | AR: +54 11 4109 1700 ext. 15494 | US: +1 877 215 5230 ext. 15494 | [image: Facebook] <https://www.facebook.com/Globant> [image: Twitter] <http://www.twitter.com/globant> [image: Youtube] <http://www.youtube.com/Globant> [image: Linkedin] <http://www.linkedin.com/company/globant> [image: Pinterest] <http://pinterest.com/globant/> [image: Globant] <http://www.globant.com/>
