Information Systems and Big Data Analysis: Characteristics, Challenges, and Techniques

Big data

Table of Contents
Introduction......................................................................................................................................3
What big data is and the characteristics of big data?...................................................................3
The challenges of big data analytics; and the techniques that are currently available to analysis
big data.........................................................................................................................................4
The techniques that are currently available to analyse big data..................................................6
How Big Data technology could support business, please use examples wherever necessary.. .6
Conclusion.......................................................................................................................................7
POSTER......................................................................................................................................8
REFERENCES................................................................................................................................9

Introduction
Big data technology is termed as the broader term of the data that relates to the diverse
consumers in the management. As it is important and vital division for the management to
manage their big data technology in terms of developing the orientation of structure. The
business of the management has to create an efficient functional software for maintaining the
functions and operations that are relates with the big data techniques (Cirillo, and Valencia,
2019). The following report involves the big data techniques and their aspects or characteristics,
several sort of the issues, techniques that are currently available to measure to examine big data.
And at last it involves the manner through which the big data technology that will help the
management as effectively and efficiently.
What big data is and the characteristics of big data?
Big data refers to large, complex, organized, and unstructured data collections that are generated
and sent in real time from a variety of sources. The three Vs of big data are made up of these
characteristics:
• The enormous amounts of data being stored are referred to as volume.
• Velocity refers to how quickly data streams must be processed and analysed.
• Data is acquired from a variety of sources and forms, including numbers, text, video,
photos, audio, and text.
When consumers use their mobile devices to open apps, search Google, or simply travel from
place to place, data is continually generated. Businesses and organisations must manage, store,
visualise, and analyse large amounts of useful data. Because conventional data tools aren't
designed to handle this degree of complexity and volume, a slew of big data software and
development solutions have sprung up to meet the need (Erraissi, Belangour, A. and Tragha,
2017). Data is crucial for gaining significant insights into the target audience and client
preferences. When properly analysed, these data sets can disclose a lot about behaviour,
characteristics, and life events. Organizations can use these results to improve their corporate
strategy and marketing activities in order to appeal to their target clients. Despite the fact that the
concept of big data and its utility has long existed, technology has only recently created an
opportunity to analyse large amounts of data rapidly and effectively. Every interaction with
technology, whether active or passive, produces new information that can be used to characterise