Big
data is the reflection of the changing world. Each and every tiny change around
us is captured & recorded as data. Big data is often used in describing
large amounts of data. Not just a specific amount of data, but a dataset that
cannot be stored or processed using traditional database software. Most of the
data collected are basically unstructured and it requires storage and
processing than that found in traditional relational databases, which are
available. Computational power is sky-rocketing, meaning there are more
opportunities to process big data, and the Internet has democratized data,
steadily increasing the data available while also producing more and rawer
data.
Change is considered as the
biggest norm for the healthcare sector. Digitalization of health & patient
data is facing a drastic and dramatic fundamental shift in the clinical,
business & operating models for the future days. A pointed growth is being
observed for this shift due to lifestyle changes, the aging population, daily
emerge of mobile devices; software applications; innovative treatments, focused
value and quality in treatments, evidence-based medicines etc. leading to
bigger opportunities for improved healthcare delivery, disease
surveillance, optimized treatment for
diseases that affect organ systems. Big Data analytics benefits the society as
it carries big promises & has the potential to transform healthcare in
reality. Since the privacy & data security is increasing day by day, big
data is more concerned about protecting the privacy & data security. In order to prevent the breakthrough of
sensitive information, big data should be effectively utilized.
Stay tuned for a brand new
slate of Sessions at Computer Science
Meet 2018, August 30-31, 2018, Dubai, UAE
Name: Claire
Deschamps | Email: computersciencemeet2018@gmail.com
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