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Big Data Analytics: Characteristics, Challenges, Techniques and Business Support

   

Added on  2023-06-10

8 Pages1964 Words206 Views
Data Science and Big DataBioinformatics
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INFORMATION
SYSTEMS AND BIG
DATA ANLYSIS
Big Data Analytics: Characteristics, Challenges, Techniques and Business Support_1

Table of Contents
INTRODUCTION ...............................................................................................................................3
TASK ...................................................................................................................................................3
What big data is and the characteristics of big data? ...........................................................................3
The challenges of big data analytics; and the techniques that are currently available to analysis
big data ............................................................................................................................................3
How Big Data technology could support business, please use examples wherever necessary. ......3
CONCLUSION ...................................................................................................................................3
REFERENCES ....................................................................................................................................4
Big Data Analytics: Characteristics, Challenges, Techniques and Business Support_2

INTRODUCTION
Big data is basically a set of data which is to big and complex which data have many rows,
columns, and attributes, and increases day by day. It is difficult to proceed with any traditional data
processing tools and soft-wares can process this in a appropriate way. Big data aids the organisation
in boosting up the performance as well the productivity. Big data is generally used to predict the
analytics, analytics of user behaviour and many other data analytics methods (Hariri, Fredericks,
and Bowers, 2019). The respective report is based on big data analytics. What does it means and
what are its characteristics is discussed below. Further, the report is based on the challenges of the
big data analytics and what are techniques available fr the analysis of big data. Lastly the reports
includes that how the technology of big data is supporting businesses with a proper example
(Hancock, and Khoshgoftaar, 2020.).
TASK
What big data is and the characteristics of big data?
Big data refers to the complex, organised and unorganized data. These data sets are so large
in size which traditional data processing software cannot process them. This complex data is used to
identify the business problems and their solutions. This valuable data is collected by the clients,
suppliers, sales, purchases, employee's and company's history. Different sources which provides
information regarding business aids in not only in enhancing the organisational structure but it also
helps in the effective and efficient decision making process. For instance, big data is used in social
media, new york stock exchange and many more. There are five Vs of big data means greater
variety, increasing volumes, more velocity, veracity and value. Discussed below (Deepa, and et. Al,
2022.).
Volume – this is the first Vs of big data , this basically refers to the quantity of data exist.
This the base of data as the data is collected is of the initial size and amount. The amount of
data is very complex in nature and stored in petabytes and exabytes. This data is basically
used in advanced processing technologies like Instagram, twitter and many more.
Variety – the next V is variety, which refers to the variety of data types. There are many
internal as well as the external sources of information through which the data is collected.
The collected data can be organised, unorganized, or semi-organised and comes in various
files and formats. Earlier there was traditional data like phone numbers, addresses and many
more, but nowadays data is in the format of audio, video, photos and many more.
Velocity - the third V of big data is velocity, which refers how fast the data is created and
Big Data Analytics: Characteristics, Challenges, Techniques and Business Support_3

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