Robin Schumacher

More on Big Data in 2012

By Robin SchumacherDecember 28, 2011

Back in November, I wrote about the projections of some of the industry analyst firms and how they are all in agreement that Big Data technologies will be one of the dominating software players in 2012.  Earlier this month, CFO magazine and IDC came out with some projections that also caught my eye.

In their report, IDC first lumps Big Data in with mobile computing, cloud, and social networking as the key technologies for 2012. That’s a pretty major statement if you consider the crowd with which IDC says Big Data is running.

Next, IDC predicts that this group of technologies will account for 80% of all software spending by 2020. That’s huge.

Lastly, IDC defines Big Data as a “must have competency” for IT professionals in 2012. Such a statement is easy at first to understand, but on second glance, it’s rather difficult to practically wrap your arms around. Exactly what concrete skills are they talking about?

In their article, CFO calls out Big Data as the #2 priority for CIO’s in 2012.

So what does all this mean for you as someone that’s involved in technology?

First, it means if you’re not already immersed in piloting Big Data projects and technology, you will be. Whether you’re an executive, manager, or technical specialist (e.g. developer, DBA, etc.) you’re going to be getting your hands dirty with Big Data technology.

Second, it means you’ve got some decisions in front of you. What technology choices will you make when it comes to your Big Data projects? One thing’s for certain: the absolute last thing you want to do is pick a software solution that can’t really handle the demands of Big Data and that’s based out outdated architectures that just don’t scale or perform.

Third, it means you’ve got some personal training to do on Big Data. This means you’ll need education materials that help describe what Big Data is and is not, and that give you important checklist criteria to use when evaluating the technologies you’ll need for Big Data.

Here at DataStax, we believe Cassandra is the best post-relational technology available for handling Big Data.
No, we’re not saying that Cassandra is a silver bullet or cure-all for all your needs. But, we are comfortable arguing that you’re not going to find a NoSQL technology out there that can scale and handle Big Data better than Cassandra. And with DataStax Enterprise, you can effectively manage both real-time (with Cassandra) and analytic (with Hadoop) Big Data in one smart data platform.

To see why we think as we do, please check out our Big Data page, along with some of our white papers that give you a concrete checklist of what constitutes an enterprise-class NoSQL solution. You’ll also find our “Beyond the Big Data hype” white paper a good read on what Big Data actually is and what kind of long term solution is needed to effectively handle it.

Here’s wishing you happiness and success in 2012, especially where your efforts in tackling Big Data are concerned!




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