Big Data at Work: Dispelling the Myths, Uncovering the Opportunities

Another commonly used tool is MapReduce, a Google-developed framework for dividing big data processing across a group of linked computer nodes. Hadoop contains a version of MapReduce. These new technologies are by no means

already highly data oriented, such as online businesses, or those that have the potential to be

eBay also carries out quantitative visual-design research and eye-tracking studies, as well as diary studies, to see how users feel about potential changes.

with big data is to employ it in developing new product and service offerings based on data.

Some organizations already use it as a first “preprocessing” step for data transformation, exploration, and discovery of patterns and trends, though there are other possibilities as well for this discovery platform, such as the Teradata Aster appliance.

believe that innovation is the highest and best use of big data, so firms in other industries should emulate the Silicon

advanced analytical algorithms to drive better prediction, thus optimizing customer offers and pricing.

The prized business and IT capabilities are discovery and agility rather than stability.

The platform needs to facilitate integrating new data, ad hoc queries, and visualization to accelerate human understanding. As valuable insights emerge from this platform, they become the requirements for changes to production systems and processes.