To keep up with the increase of data from mobile and sensor sources, companies will also be required to quickly ingest huge amounts of different types of data. Technology will, for the most part, keep up with that requirement. However, “just because we can ingest that amount of data, should we do so?” Nugent asks. The answer will depend on the use case, he notes. “This is just the beginning and the potential demands we understand data lifecycles better than we did in the past,” he adds.
Improved analysis and data visualization tools are needed to comprehend relationships, patterns, etc. “Extract, transform and load technologies (ETL) have to evolve so they can perform their services across a broader set of inputs and outputs, all while providing a dynamic capability for extending to not yet known forms"