Disaster Recovery and the Big Data Application

When I ask database administrators how they implemented disaster recovery in their big data environments there are two typical responses:
Big data is for analytics, not mission-critical data, so DR plans are not necessary;
Big data is too … big! Backups will take up a lot of space and recovery will take far too long for such large data sets.
Despite this reasoning, a disaster recovery plan for your big data implementation may be essential for your company’s future.
Mission-Critical Data
It is true that most big data implementations are for data analytics and reporting, while business and customer transactions are handled by legacy systems. However, we must take into account that big data applications are relatively new. They have not yet had the time to grow in priority and importance.

Leave a Comment

Your email address will not be published.

You may also like

Crayon Yoda

Pin It on Pinterest