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Types of Big Data: Characteristics, Challenges, and Techniques of Analysis

   

Added on  2023-06-17

7 Pages2149 Words352 Views
Characteristics of BD
The main principles of BD allow to understand the features that
represents it’s that how mistakes can be avoided while organizing
complex data. It as well contributes in achieving data permanence
when content is constantly changing
Velocity
Volume
Value
Variety
Veracity
BIG DATA
INTRODUCTION
Big data is used to describe the large
volume of information that helps in
getting crucial factors for taking strategic
decision. In the current era, scope of big
data is vast and widely utilized by
organization irrespective of their scale of
operation. The current report will pay
attention on identifying different types of
data, principles, challenges & techniques
of bid data analysis. Present report will
highlight how big data is useful in
achieving objectives & functions.
Types of big data
There are basically three types of big data that can permits to derive large
amount of information. It includes the following types which makes proper
segregation of big data into three parts such as follows:
Structured data
Unstructured data
Semi structured
Challenges of Big data
Lack of accurate understanding of big data
Data growth problem
Improper awareness in choosing BD tool
Security of data is one of major modern issue
Lack of data professional

CONCLUSION
From the above report it can be concluded that
big data play important role in influencing business
decision through providing deeper information. The
current report has involved characteristics like volume,
variety, veracity, Velocity, value, etc. Different kinds of
BD are structured, semi & unstructured has been involved
in present study. Present report has given emphasis on
problems and technique of analysis has been included in
report. There are various objectives like boosting revenue,
profit, etc. can be accomplished by applying BD to
provide support to business.
REFERENCES
Books and Journals
Ge, M., Bangui, H. and Buhnova, B., 2018. Big data for internet of
things: a survey. Future generation computer systems, 87, pp.601-
614.
Hariri, R. H., Fredericks, E. M. and Bowers, K. M., 2019.
Uncertainty in big data analytics: survey, opportunities, and
challenges. Journal of Big Data. 6(1). pp.1-16.
Raut, R. D. and et.al., 2019. Linking big data analytics and
operational sustainability practices for sustainable business
management. Journal of cleaner production. 224. pp.10-24.
Reddy, G. T. and et.al., 2020. Analysis of dimensionality reduction
techniques on big data. IEEE Access, 8. pp.54776-54788.
Wang, J., and et.al., 2020. Big data service architecture: a
survey. Journal of Internet Technology. 21(2). pp.393-405.
Online
What is Big Data – Characteristics, Types, Benefits & Examples.
2021. [Online]. Available through:
<https://www.upgrad.com/blog/what-is-big-data-types-
characteristics-benefits-and-examples/>
Explaining big data technology helps in achieving
business objectives
getting information regarding the prevailing market forces
so that significant insights regarding customer taste &
preference can be achieved.
Setting realistic goal that can be actually achieved
becomes possible by applying the big data into its
organizational process Customer retention is one of the
success determining factor which contribute in boosting
organizational growth & development.
Service level performance can be improved by
concentrating on customer demand in turn traffic pattern
so that highest probability of success can be achieved
It becomes possible to take strategic decision through
higher focus on taking relevant & suitable elements in to
consideration.
BD play important role in influencing business revenue
generating capacity so that higher competitiveness in
sector can be achieved.
Techniques of data analyzing
A/B testing technique
Machine learning
statistics, spatial analysis,
predictive modelling network
sentiment, regression,
genetic, classification of tree, etc.

Additional notes:
Explaining big data & its characteristics
Big data play important role in influencing company’s decision making by providing
significant source of information. This allows organization to have strategic move through
paying attention collecting, storing, analyzing data, etc so that actual prevailing can be
assessed. Big Data (BD) is can provide ability to enterprise for gaining competitiveness so
that business goal of attaining leading position in sector can be derived.
Characteristics of BD
The main principles of BD allows to understand the features that represents its that how
mistakes can be avoided while organizing complex data. It as well contribute in achieving
data permanence when content is constantly changing (What is Big Data
Characteristics, Types, Benefits & Examples,2021). Its characteristic largely aid in
getting deeper insights about teh basic principle that is rqeuired to be followed by big data so
that suitable course of action can be taken into consideration.
Velocity is basically considered with how quickly it can be gathered and created. In
addition to this, how quickly it can be moved which is largely taken into practices by
business to ensure that accurate & fair kind of big data is maintained.
Volume refers to the amount of data that is prevailing and is considered as base. When
the data is large in volume it is referred as big data, thus volume is one of the main
feature of BD.
Value that big data can provide is one of the crucial characteristic as allows to
understand that how insights can be gained.
Variety shows diversity of forms of data which can be gathered from distinct source
so that greater reliable & fair kind of information can be obtained (Ge, Bangui and

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