by Angela Guess
A recent article takes a look at a number of expert’s opinions regarding Big Data, data management, and the move to the cloud. Jason Reid, CTO of Carrenza believes, “Businesses wanting to build big data stacks in the cloud need to make sure that they take the time to assess their options before choosing the technology that they are going to build on. There are a number of proprietary and open source tools out there for the taking, but picking the right one is not necessarily an easy task.”
Keith Tilley of SunGard is quoted saying, “Some IT vendors, welcome increasing data volumes. But despite what storage vendors may have you believe, you can’t just keep throwing servers at your exponentially expanding data assets. Not all data is born equal and the importance of different types of data is far from constant; whereas today’s data might need to be replicated and recoverable in seconds, the chances are that last week’s data is less critical and can be stored on a cheaper medium.”
Ken Hertzler of Platform Computing adds, “Big data analytical queries will create a new set of workload management problems for IT. This workload will be small to begin with (users submitting queries to running single reports), but will expand soon into a massive amount of requests (applications generating queries automatically to generate trends or continuously looking for patterns)… Whether the data sits in a cloud, or internally in a data center, workload scheduling and management of the MapReduce requests is not a trivial matter to solve.”
