Big Data Analysis: Characteristics, Techniques, and Challenges

This presentation provides an overview of big data analysis, including its history, definition, and characteristics. It also discusses how big data technology can support businesses in making effective decisions, as well as the challenges faced by big data analytics. Additionally, the presentation covers the various techniques currently available for analyzing big data, such as data mining, machine learning, and statistics. References are also provided for further reading.

History on big Data
The first big data was traced in 1663 at time when
John Graunt was dealing with large amount of
information studying relating to bubonic plague.
Information Systems and Big Data Analysis
Name of the Student
What is big Data
The big data is being defined as the process of
examining the data which is large in numbers and
identify the hidden patterns. This is essential for the
businesses to analyse and evaluate big data in order to
identify the trends and working patterns. It is crucial for
the business as it will assist the company in taking
better and effective decision for the growth and
development of business.
Characteristics of Big data
The various characteristic relating to big data is
as follows-
• Volume
• Variety
• Velocity
The challenges of big data
analytics
The various challenges being faced by big data
analytics involves the following-
• Lack of professional knowledge
• Confusion relating to use of technique
• Integration of data from different sources
• Need of synchronization of data
References
Zhu, L. and et.al., 2018. Big data analytics in
intelligent transportation systems: A
survey. IEEE Transactions on Intelligent
Transportation Systems. 20(1). pp.383-398.
Saggi, M. K. and Jain, S., 2018. A survey
towards an integration of big data analytics to
big insights for value-creation. Information
Processing & Management. 54(5). pp.758-790.
How Big Data technology
could support business
• assistive for businesses to take decision
• used by the companies for analysing the
consumer trend and preferences
• assistive to business in predicting the future
demand of the company
Techniques that are currently
available to analysis big data
There are many different techniques which can be used
by the company in order to analyze big data. These
techniques involves-
• Data mining
• Machine learning
• Statistics