Information Systems and Big Data Analysis: Business Decision Making

Business decision
making

Contents
TASK ..............................................................................................................................................1
Characteristics of big data ...............................................................................................................1
Challenges of Big Data analytics: ...................................................................................................2
Techniques that are currently available to analysis big data ...........................................................2
How Big data technology could support business with using necessary examples ........................3
REFERENCES................................................................................................................................6

TASK
Big data history:
The universe first saw the difficulty with the overwhelming of data and lack in data
handling during the year 1880. It is taken as tool or software system which is used in data
collecting, examining and managing the big amount of complex data. The first hint of big data
was found in the year 1663 by John Graunt. He used the methodology of bubonic plague that to
be dealt only with big data. In the early of 1880s, the area of statistics enlarged to include
collecting and analysing data. During the year 1881, Herman Hollerith a man from US Census
Bureau who reduced the calculation work by formulated Hollerith Tabulating machine(Zhang
and et.al., 2021). During the 20th century, data and information developed at an unanticipated
speed. At that time, many invention took place like machines developed for storing huge data,
system of scanning in messages and computers were also invented. In 1965, Government of US
creates the first data centre with the view of maintaining big database of fingerprint sets and tax
returns.
What is Big data ?
It defines as a data sets that are huge unexpected data or complex data to be dealt with by
conventional data system software. Big data generally used in examine the visual image by
which business decision should be made precisely and accurately. It plays a very vital function in
accomplishing targets of organisation as it seems to identify the need and requirements of the
organisation. Big data can be categorised into two parts which is unstructured or structured.
Characteristics of big data
There is limited characteristics but includes 5v's which are as follows:
Volume – It mean the size of data created and stored. The Big data is probably higher than
Terabytes and petabytes. Size of data ascertain the expected insights and measures the value of
data.
Variety – It refers to various type and nature of the data. The major challenges faced by the
conventional technologies like RDBMSs which were only capable to handle structured data and
not effective for semi structured and unstructured data. The big data software application usually
noticed mainly for capturing, storing and processing the complex and unstructured data which
are developed with high speed.
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