Big Data Analytics for Banks

Comments (1)
  1. D M says:

    Good article. Apache Spark is definitely a good choice. The performance has been much faster than Hadoop. Banks are now taking initiatives to bring all their data scattered across silos to hadoop clusters and analyse them at one place. The analysts are preferring MLlib from Apache Spark along with R to develop their algorithms. Companies like cloudera have made products like impala which has made it easier for business analysts to analyse data in hadoop with usage of SQL-like queries in stead of Map-Reduce. Some of the leading banks are now using live data to improve to customize their interaction with their customers in the digital channels.

Leave a Reply

Over 100,000 people subscribe to our newsletter.

See stories of Analytics and AI in your inbox.