Information Systems and Big Data: Analysis, Tech & Business Use

This report provides an overview of big data, defining it as the collection of data stored on the internet through technology, characterized by its large volume, variety, velocity, and variability. It highlights the challenges associated with big data analytics, including a lack of understanding, data growth issues, and difficulty in tool selection. The report also outlines techniques currently available for analyzing big data, such as A/B testing and data defense. Furthermore, it explores how big data technology supports business by enabling better structural decisions, enhancing consumer understanding, improving business operations, and creating income. The document concludes with references to support its claims and encourage further research. Desklib offers similar solved assignments and study tools for students.

Information Systems and Big Data Analysis
Name of the Student
What is big Data
The collection of data which is being stored on the
internet through the assistance of technology is
Big data. The data is in large terms of numbers and
storage. The capacity of storage of data is high in
number. In comparison of the historical data this
data is very huge. The inventions in the field of
science make this become possible through
introducing new technology in market. With the
help of this the data is maintained in very
systematic and arranged manner(Teng, and
Khong, 2021). The big data is to be utilize in every
field. In this report this is explained about the role
of big data in recent time period.
Characteristics of Big data
• Volume
• Variety
• Velocity
• Variability
The challenges of big data
analytics
• Lack of proper knowing of big data
• Growth of data related issues
• Difficulty in selecting the tool
References
Hajjaji, Y., and, et. al., 2021. Big data and IoT-
based applications in smart environments: A
systematic review. Computer Science Review, 39,
p.100318.
Javed Awan, M., and, et. al., 2021. Social media
and stock market prediction: a big data
approach. MJ Awan, M. Shafry, H. Nobanee, A.
How Big Data technology
could support business &
Examples
• Develop better structural decision
• Apprehension the consumer
• Enhance the business operations
• Create income
Techniques that are currently
available to analysis big data
• A/ B testing
• Data defense