Big data is a term for data sets that are so large or complex that traditional data processing application software is inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating and information privacy.
Lately, the term "big data" tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set. "There is little doubt that the quantities of data now available are indeed large, but that's not the most relevant characteristic of this new data ecosystem."[2] Analysis of data sets can find new correlations to "spot business trends, prevent diseases, combat crime and so on."[3] Scientists, business executives, practitioners of medicine, advertising and governments alike regularly meet difficulties with large data-sets in areas including Internet search, fintech, urban informatics, and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics,[4] connectomics, complex physics simulations, biology and environmental research.[5] Wikipedia
https://en.wikipedia.org/wiki/Big_data
A distinguished panel will discuss the latest developments in big data.
Please come with questions and comments.
Agenda
6:00 pm to 7:00 pm Check In, Food, Networking Reception 7:00 pm to 8:30 pm Panel Discussion, Q & A 8:30 pm to 9:00 pm More Networking
DISCLAIMER: Our aim is to continuously provide our
progressive audience with an open and interactive medium to view
and share relevant,
beneficial and interesting "career, economic, lifestyle and
networking" listings, ads, content and resources.
While the above information may be accurate and viable, the role
of Minority Professional Network, Inc. (MPN) is
strictly as a communications medium, and we do not
accept any responsibility for
cancellation, changes, errors, omissions, inconveniences, or any other form
of liability for any content
displayed or disseminated via our web sites, or e-marketing or social media
promotional services.
If there are any
doubts, we
encourage you to conduct additional research or contact the listed host or responsible entity.
CLICK HERE to inform us about any ads, listings or content
which appear to be
inappropriate,
fraudulent or misleading, or inconsistent with our theme and focus.