We are new to R and evaluating if we can use it for a project we need to
do.  We have read that R is not well suited to handle very large data
sets.  Assuming we have the data prepped and stored in an RDBMS (Oracle,
Teradata, SQL Server), what can R reasonably handle from a volume
perspective?   Are there some guidelines on memory/machine sizing based
on data volume?  We need to be able to handle Millions of Rows from
several sources.  Any advice is much appreciated.  Thanks.  

	[[alternative HTML version deleted]]

