Description

Currently, multiple worldwide enterprises are asking key questions about “Big Data,” which has become a buzzword. For those who are willing to listen, Big Data is offering valuable patterns and predictions in the world today. It is not surprising this concept is recently receiving a lot of attention. According to Asigra, a Cloud Backup company since 1986, a staggering 90% of the data in the world today have been created only during the last two years [1]. And, it is
predicted the worldwide number of Internet Protocol (IP) addresses will quadruple by 2015. Moreover, it is forecasted three billion people will be online creating close to eight zettabytes of data two years from now [1].
This amount of data may appear alarming while at the same time interesting when companies such as Google harness personal input data and forecast fl epidemics in collaboration with the Centers for Disease Control (CDC) [2].
Besides the legacy of electronic bulletin boards and listservs we now have large volumes of data being produced by multiple users of social media platforms [3].
While Electronic Medical Records (EMRs) contain a plethora of data, such as patient demographics, clinical and genomic data, and are known for assisting with the flw of health care, today they are seen as a way for performing large-scale and low-cost health care analysis and decision-making.
EMR data sharing has its challenges, such as patient privacy and, privacy has to be a high priority in order to comply with the EU Directive 95/46/CE and the HIPAA privacy rule [4].
In regards to the increased use of Social Media tools, an example of Big Data is the fact that “32 billion searches” were performed via Twitter during the month of August 2012 [1]. Atule Butte (@atulebutte) tweets about wearable devices that assist [aspiring] finess buffs to track their personal data [5]. As wearable devices become more popular and accepted, even for those with poor posture [5], personal quantifible data will add to the exploding 2.5 quintillion data bytes per day [1]. The increased use  of telehealth will further test the storage capacity for patient data and the innovative use of Google Glass by physicians will also add to the social and behavioral aspects of Big Data [6]. The healthcare industry has
been slow to embrace Big Data due to the cost of adding analytic functions to existing EHRs, privacy issues, poor-quality data, and a lack of willingness to share data [7].
However, today more professionals are seeing the need to listen and act upon Big Data to benefi health outcomes through online communication and sharing of data. The aim of this paper is to provide the reader a glimpse of the literature centering on the challenges and opportunities in analytics of Big Data in science and health care. We begin by discussing the science of big data and the need to balance between quantity and quality, and then move on to small data and its challenges, which are a small scale reflction of the big data challenges.


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