Three Killer Big Data App Opportunities

Unless you’ve been living under a rock for the past year, it is hard to imagine that you’ve been oblivious to the hype of Big Data. Almost synonymous with this concept, and perhaps the main reason for its current buzz, is Hadoop. This open-source, scalable, distributed data storage framework from Apache did not create Big Data, it existed many years before it, but what it did do is super-size it on a scale unachievable by its predecessors.

But here within lies the problem…the Hadoop framework, as powerful as it is, does not deliver any real value—it is an empty shell. Its success is an ability to leverage the Big Data framework in a form of game-changing applications.

While many startups managed to cash-in on the Big Data hype by raising large amounts of money to make the Hadoop framework easier to deploy and manage, we have not seen many truly innovative solutions that deliver the raw power of Hadoop in readily available solutions.

I am not oblivious that in the hands of talented data scientists, Hadoop can deliver great business insight. EMC, for example, employing 25 data scientists with PhDs in math and statistics, to correlate data and write algorithms specific to industries like the energy sector. But, until we address the very apparent shortage of this kind of talent, we must capitalize on empower developers to write new game changing applications that can harness that power: "Killer Big Data apps," if you wish. These are applications that will leverage the unrealized potential and deliver a next-generation Big Data solutions,  that are both, necessary to today's business, and, desirable by end users.

The opportunities of these applications, in my mind, fall into three groups:

Leverage Unused Data
This is data that is already collected but not harnessed to deliver any business value. One example of data that is currently unused is the area of DevOps. The two main products in this field that I am familiar with are Chef and Puppet. With the recent popularity of these tools, and the increasing number of devices (nodes) they can manage, these products are in a very unique position of knowing a lot about the environments in which they reside. Here is the kicker though, in today's version of these products, much of that visibility is lost, discarded as soon as it goes out of scope. Can you imagine the opportunities to leverage this data to drive new value through pattern recognition or usage modeling/forecasting?

Drive New Value From Summary Data
This one is close to my heart, as I spent close to nine years in developing environmental, health and transportation data management systems. Often in this area, large data sets are extensively summarized before any meaningful analysis at the county or state level. By the time this data gets available on the national level, we already lost much of its meaningful insight. The opportunity here is to not only leverage the detail, but, augment it with related data-sets to provide fuller view.


Harness Heterogeneous Data Sensors
Whether we like it or not, we, and many things around us, are "nodes" in elaborate sensor networks collecting Big Data. I know this sounds scary, so, let me explain. The devices we carry, the vending machines we frequent, the thermostat monitoring the temperature in our homes, all these have sensors; and increasingly numbers of these devices collect actionable data. Traditionally, we think of these data sources as silos: "If vending machine indicates it ran out of soda, refill it.” The opportunity in this area is to develop the capability to augment already existing points of potential data collections, mobile sensors if you wish. High velocity sensor devices that are capable of acquiring multi-media input (visual, air & temp sample, motion indicator, etc.) and relaying this data to predefined aggregation points. These devices will deliver new data points from existent infrastructure allowing for new pattern recognition and the development of new delivery models.

I realize that the level of effort to develop such applications is considerable, but, what would you rather work on—game changing solutions or yet another Zynga game?