by Yaniv Mor, Co-founder & CEO of Xplenty
How do you get Big Data ready for R? Gigabytes or terabytes of raw data may need to be combined, cleaned, and aggregated before they can be analyzed. Processing such large amounts of data used to require installing Hadoop on a cluster of servers, not to mention coding MapReduce jobs in Pig or Java. Those days are over.