Page 28 - Big Data Analytics for Intelligent Healthcare Management

CHAPTER

BIG DATA ANALYTICS

CHALLENGES AND SOLUTIONS 2

Ramgopal Kashyap
Amity School of Engineering & Technology, Amity University Chhattisgarh, Raipur, India

2.1 INTRODUCTION
There is a rising form of analytics called prescriptive analytics, which recommends one or more pub-
lications of movement and shows the probable outcome of each choice; businesses need to overcome
challenges to achieve the blessings of analytics. This chapter aims to address the demanding situations
for empowering predictive big statistics analytics.
The first venture is to run analytics on differing information to meet the commercial enterprise
need for reading records from many sources, such as relational databases, Excel files, Twitter, and
Facebook. The calls for different established codecs, semi-dependent and unstructured, are disbursed
throughout various information centers relational databases, NoSQL databases, and file systems, and
the need is to place them in a format that can be processed by the facts-mining algorithms [1]. Most of
the existing libraries use an extract-remodel-load operation to extract the records from the unique
stores and to remodel their layout to an appropriate schema [2]. This approach is time-consuming
and requires that all facts be acquired in advance. Fig. 2.1 shows how blood pressure monitoring,
intelligent pillbox, and blood sugar monitoring services are using the Internet of things and using
servers in hospitals, shopping malls, bus stops, and restaurants for ad hoc service in cases of
emergency.

2.1.1 CONSUMABLE MASSIVE FACTS ANALYTICS
The fact that an investigation is multidisciplinary makes it troublesome for organizations to find the
required specialized aptitudes to embrace enormous actualities examination. The consumable re-
search provides essential characteristics for managing this task and for triumphing over the inacces-
sibility of analytical capacities [3] by a method for making the survey less difficult to apply [4].
Consumable examination refers to the developing of the abilities that are effective and current in
a business endeavor by a method for creating devices that make an investigation easier to build, over-
see, and expend [5]. The consumable inquiry is a public interface or a programming dialect for check-
ing human services information such as circulatory strain, weight, and sugar level, using the door
shown in Fig. 2.2.

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Big Data Analytics for Intelligent Healthcare Management. https://doi.org/10.1016/B978-0-12-818146-1.00002-7
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