Database Reference
In-Depth Information
Summary
Big Data comes from myriad sources, including social media, sensors, the Internet
of Things, video surveillance, and many sources of data that may not have been
considered data even a few years ago. As businesses struggle to keep up with
changing market requirements, some companies are finding creative ways to apply
Big Data to their growing business needs and increasingly complex problems. As
organizations evolve their processes and see the opportunities that Big Data can
provide, they try to move beyond traditional BI activities, such as using data to
populate reports and dashboards, and move toward Data Science- driven projects
that attempt to answer more open-ended and complex questions.
However, exploiting the opportunities that Big Data presents requires new data
architectures, including analytic sandboxes, new ways of working, and people with
new skill sets. These drivers are causing organizations to set up analytic sandboxes
and build Data Science teams. Although some organizations are fortunate to have
data scientists, most are not, because there is a growing talent gap that makes
finding and hiring data scientists in a timely manner difficult. Still, organizations
such as those in web retail, health care, genomics, new IT infrastructures, and social
media are beginning to take advantage of Big Data and apply it in creative and novel
ways.
