There is a lot of talk about migrating data off of Hadoop into the cloud to try to combat challenges they are facing as data volumes continue to surge. In fact, many organizations are taking a cautious approach to moving hundreds of terabytes or petabytes of their Hadoop data to the cloud, due to performance and cost concerns.
So what can be done in the meantime to alleviate some of the burdens that organizations with Hadoop are facing?
This session will focus specifically on:
• How to deal with the exponential growth of data
• How to reduce time spent on data preparation
• How to generate insights in a timely manner from raw data
This webinar is geared toward data engineers and architects, CIOs, CDOs and other data professionals who are tasked with managing and analyzing data stored in Hadoop.