Information Systems and Big Data Analysis: History, Challenges, Uses

This essay provides an overview of big data analysis in the context of information systems. It traces the history of big data back to the 17th century and discusses the challenges associated with big data analytics, such as the shortage of skilled professionals and the need for proper data quality and storage. The essay defines big data as large, diverse information sets that grow exponentially and highlights the importance of leveraging this data for strategic business decisions. It also outlines the main types of big data, including structured data, and discusses techniques used for analysis, such as data mining, machine learning, A/B testing, and statistics. Furthermore, it describes the characteristics of big data, including volume, velocity, and variety, and provides examples of how big data technology can support businesses by enabling better decision-making and strategic planning. The essay concludes by referencing the importance of proper handling and assessment of data for organizational growth.

History on big Data
First trace of the big data has been seen back in year
1663 when John Graunt was dealing with an
overwhelming information. He also studied bubonic
plague, European was haunted that time. John Graunt
was known as the first ever person who had used
statistical data analysis. Later in year 1800 this field of
statistics has expanded into analyzing and collecting
data. Overwhelming data was considered as a problem
in 1880 (Chang, 2018). In that span of time US census
bureau has announced that it estimates Ly it would be
taking eight years in processing and handling the data
which was collected in census.program. . In 1881
Hollerith tabulating machine has been invented by
Herman Hollerith for reducing the work, he was one of
the men in bureau.
Information Systems and Big Data Analysis
Name of the Student
What is big Data
Big data is known as diverse and large information sets that grows
at exponential data. It is known as largest storing data and not
competitive traditional data management tools can drive it
efficiently. Volume of data do matters in the organization but the
way organization utilizes that data affects in organizational growth
(Pan, 2019). Big data can be used in analyzing for insights which
leads to better strategic moves of business and for better decision. .
Social media platforms are also considered as the big contributors
for surmounting the data. There are three main types of big data
which is structured data in which data in processed, accessed and
stored in form of fixed format.
Characteristics of Big data
Industry analyst in the market has derived three v’s which
indicated the characteristics of big data. The characteristic
of big data is described below.
Volume
Velocity
Variety
The challenges of big data analytics
Shortage of professionals: In the market there is acute
shortage of data professional who has the good
understanding of big data analysis. The analyzation of
data is important which is produced in each minute and
similarly it is useful.
Data quality and storage: In today’s world business
organization has expanding rapidly and with the high
expansion of business and organization in the market
huge data has been produced from that and requires
proper handling and storage for the same.
References
Chang, C.C., 2018. Hakka genealogical migration analysis
enhancement using big data on library services. Library Hi
Tech.
How Big Data technology could support business &
Examples
Big data technology can be considered as a big advantage
in supporting the businesses in the market. As every
organization produces information and needs a proper
handling and assessing of that data which helps in easy
decision making and for better strategic planning according
to the output of the data analyzation (Khalid, and Zebaree,
2021).
Techniques that are currently available to analysis big data
• Data mining
• Machine learning
• A/B testing
• Statistics