Information System and Big data analysis

Information System and Big data analysis
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Contents
INTRODUCTION...........................................................................................................................3
MAIN BODY..................................................................................................................................3
Describe different types of data, explain principles, challenges and technique of big data
analysis........................................................................................................................................3
Principle of big data analytics......................................................................................................3
Discuss that how big data can be used to support enterprise functions and objectives...............5
CONCLUSION................................................................................................................................6
REFERENCES................................................................................................................................7
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INTRODUCTION
Big data analytic is based on the complex process of examining large and varied large
data set. It is mainly uncovered the information such as correlations, customer preference and
hidden patterns. It helps for organization which makes informed in the business decision making.
Furthermore, the report will describe about the different type of data and their significant
challenges, principles and technique for analysis purpose. However, it will identify that how big
data support in the business function and objectives.
MAIN BODY
Describe different types of data, explain principles, challenges and technique of big data
analysis.
Data is defined the information that processed or stored by hardware. it may be in form of
images, clips, software programs and text documents. Data can be described the backbone of
project that help for manage different operation in proper manner. It can be categorized into
different types: Qualitative and Quantitative data.
Quantitative data is mainly dealing with the large number of statistical information that can
be measured objectively. It is based on the multiple dimension such as length, temperature,
height, width and humidity (Han and Qi, 2019). This type of quantitative data may refer as
numeric data in the form of “discrete” and “continuous”.
Qualitative data mainly deals with the descriptors, characteristics that cannot be easily
measured but it will be observed in subjectively on the basis of texture.
When it measures something that give it proper number value. If it will create quantitative
data. Sometimes, it can be classified and judged something. It will create qualitative data.
Principle of big data analytics
The evaluation of big data technology that continue to collect or gather large amount of
information. Sometimes, it is becoming associated with the relational database which makes it
easy to work by using structure query language. Whenever the large amount of data reach
significant volume but it is difficult to work with handle on regular basis (Jane and Ganesh,
2019). While dealing with large amount data become consider as universal problem. This type of
issue has manifested in big data analysis techniques. At that time, it would be considered main
principles to keep when design or implement data.
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