Big Data Analysis

Running head: BIG DATA ANALYSIS
Big Data Analysis
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1BIG DATA ANALYSIS
Executive summary
This report aims to provide the discussion of the big data technologies and then provide the
appropriate architecture solution for the management of health data records. The brief use cases
are provided for illustrating the users of the big data in healthcare. The discussion of big data
technologies has been provided for determining the advantages and the disadvantages that are
provided by the big data technologies. The big data architecture solution has been recommended
for the healthcare data management that could be implemented by the healthcare organizations.
The characterization of the big data is done dividing it into three categories which are velocity of
the data processing, varieties of data and extreme volume of data. Many others also treat the big
data as some typical way of analyzing and systematic extraction of some particular information
or it can be considered as some unique way of dealing with some large number of datasets. Here
this large amount of data is handled with by some traditional type of data processing software.
Lastly this report concludes with the appropriate conclusion for the report.

2BIG DATA ANALYSIS
Table of Contents
Introduction:....................................................................................................................................3
Big data use case..............................................................................................................................4
Critical Analysis of Big Data Technology:.....................................................................................4
Different types of Big Data Technology:....................................................................................4
Hadoop.....................................................................................................................................4
Spark........................................................................................................................................7
Data Lakes.............................................................................................................................10
R technology..........................................................................................................................11
Big data architecture solution........................................................................................................13
Conclusion.....................................................................................................................................14
References......................................................................................................................................16

3BIG DATA ANALYSIS
Introduction:
The term “Big Data” is actually describes that is some large set or volume of data which
can be in form of unstructured, semi-structured and structured data. Big data mainly mines some
of the important information which are mainly utilized for some advanced projects or can be
used for some analytics operations. The characterization of the big data is done dividing it into
three categories which are velocity of the data processing, varieties of data and extreme volume
of data. Many others also treat the big data as some typical way of analyzing and systematic
extraction of some particular information or it can be considered as some unique way of dealing
with some large number of datasets. Here this large amount of data is handled with by some
traditional type of data processing software. The concept of big data is quite important as it
provides some great advantages to the statistical type of power, but in this case another
disadvantage is that data with some high complexity can lead to higher rate of false discovery.
As the big data technology is having both the positive and negative aspects regarding the
processing of the data an extended study will be done regarding the Big Data Technology. Here a
critical analysis of the big data technology will be done and some solution regarding the
architecture of the big data will be discussed.