For quite some time now, Apache’s Hadoop has been making a splash in the big data management industry. Having served as a viable platform for web giants such as Facebook and Yahoo, some argue that Hadoop is ready for the higher ranks. What exactly will it take for Hadoop to contend in high level enterprise?
For one, with enhancements in V2 processing, Hadoop now allows users more ways than ever before to crunch data. This makes it a true contender for real-time big data applications. Hadoop is also a great response to explosive data growth. Its managed service model allows organizations to deliver at a faster rate. Hadoop enterprise-grade platforms can meet the most demanding of data needs. Moreover, Hadoop provides fast recovery options. Sooner or later something in your system will fail be it a disk, server, or power supply. Hadoop enhanced with enterprise capabilities can recover instantly, eliminating costly downtime.
Security is also more flexible. For example, with a Hadoop based platform, a company can leverage and integrate its current security measures. Hadoop is also open-source. This allows for great deals of contributions and innovations on the platform for the future to come. Such a platform also allows for disaster prevention. By setting in place a mirroring or replication system you can be sure vital data is never lost.
Performance, consistency, and security make Hadoop based platforms highly appealing to enterprise professionals. IT leaders all seem to agree that Hadoop’s managed service approach is the ideal way to meet organizational demands. At its infancy, Hadoop was an interesting development in big data management. However, we may now be looking at a soon-to-be standard in enterprise software.
