Nowadays, information can be easily acquired but making effective use of it beyond what can be achieved with traditional technologies requires introduction of new concepts, re-thinking the usefulness of data and getting new tooling support. Organizations are faced with the growing amount of unprocessed data that can and should be used more intelligently.

Businesses that found ways to take advantage of Big Data are ahead of the competition!

Success of an organization is predicated on its ability to convert raw data from various sources into useful business information. As a rule, the more data is available, the more information can be harvested from it.

In many instances, the [useful information] / [information noise] ratio in harvested data sets is very low. In many respects, extracting business information is similar to extracting gold from ore!

Traditional relational database technologies are not very well suited to accommodate the volume, variety and velocity characteristics of Big Data.  There is a growing number of use cases for real-time data processing and it is no longer enough to just capture, store and process Big Data using batch-oriented analytics in an offline environment (the “data-at-rest” processing paradigm). Applications are required to provide real-time, in-place data analysis without moving the data to a warehouse (the “data-in-motion” processing paradigm). Many organizations are faced with the piling up of unprocessed data that has the potential to aid their business in making informed tactical and strategic decisions.

Big data makes it possible for you to gain more complete answers because you have more information. More complete answers mean more confidence in the data—which means a completely different approach to tackling problems.

To learn more, visit our Big Data Training and Courseware page.