Big Data Technology: Characteristics, Challenges & Business Support

This report provides an overview of big data technology, focusing on its characteristics, challenges, and potential for business support. It defines big data as a high-volume, rapidly growing collection of data, further categorized into structured, semi-structured, and unstructured formats. The report highlights the key characteristics of big data: volume, variety, velocity, and variability. It discusses the challenges in big data analytics, including uncertainty, talent gaps, and extracting valuable information, along with techniques like A/B testing, data fusion, data mining, and natural language processing. The report concludes that big data offers significant opportunities for business growth, aiding in identifying trends, improving customer service, and supporting strategic decision-making. It emphasizes the importance of understanding consumer needs and preferences through big data analysis and the role of Desklib in providing access to such resources for students.

BIG DATA
TECHNOLOGY

Table of Contents
INTRODUCTION...........................................................................................................................3
MAIN BODY...................................................................................................................................3
Big data is and the characteristics of big data..............................................................................3
Challenges of big data analytics and the techniques that are currently available to analysis big
data...............................................................................................................................................5
How Big Data technology could support business......................................................................6
CONCLUSION................................................................................................................................6
REFERENCES................................................................................................................................7

INTRODUCTION
This report helps in understanding about importance of big data and how does it helps in
understanding and analysing relevant information which is reliable and effective. This report
focuses on importance of big data and its characteristics. Big data might be considered as
effective but it also has its own challenges and techniques which are used to understand and
analyse big data is also discussed in this report. Such data is used by organisation to understand
about various facts and such data includes structured data, semi-structured data and unstructured
data. This type of data helps in understanding about trends and patterns in business environment
and how it can be used by organisation to make its decision.
MAIN BODY
Big data is and the characteristics of big data
Big data is explained as collection of data which is high in volume and it grows with
time. It consists of data which is large in size and it is used to store and process high volume data
effectively and efficiently. Social media, stock exchange etc. are considered examples of Big
data. It is further classified into structured, semi-structured and unstructured data.
Structured data
Any data which is stored and processed under fixed format is known as structured data.
For storage of such data technology and computer science have played crucial role in processing
and storing data in a fixed format. Such data helps in understanding about various trends and
patterns of market and also effective in using such data accordingly.
Unstructured data
Data which is not in correct form and the structure which is involved in this type is
explained as unstructured data. Such type of data possess various challenges as information in
such data is not well structured and good amount of effort and money is required to extract
information from such type of data. Large amount of data is available for organisation but due to
lack of methods it is difficult to extract value out of such data.
Semi-structured data
This can be explained as combination of both structured and semi-structured data. Such
type of data includes information which can be extracted and in some case there is no method to
extract information from large volume of data.

Characteristic of big data is mentioned below:Volume – Big data is explained and related to data which is large in size and large volume of
data plays vital role in gathering necessary information from such data. Any type of data can
only be considered as Big data by depending upon its volume. Volume is considered as one of
the important factor or characteristic which is needed to be considered while understanding Big
data.Variety – Another characteristic of Big data is its variety because Big data consists of various
type of information related to various fields. It also defines the nature of data which can be both
structured and unstructured. Nowadays, there is data which is in the form of emails, photos,
videos that are considered applications which are used for analysis of such data. Variety helps in
understanding about nature of data and its relevance and reliability.Velocity – This is explained as speed of generating data and how fast data which is stored can be
processed and generated to fulfil the demands and helps in understanding about potential of the
data which can help in getting viable and reliable information. Velocity also helps in
understanding the speed which data flows from sources such as networks, application logs,
mobile devices etc.Variability – It is explained as the different type of inconsistency which is analysed in data and
understanding the procedure of managing and handling data effectively and efficiently.
Advantages of Big data processing are mentioned below:
 Such data is utilized by business to make effective decision and helps in proposing
suitable and effective strategies for business.
 Big data technologies are used by businesses to improve their customer service by
understanding response of consumer.
 Big data is also considered helpful in understanding about new areas for business where
business can expand.
Challenges of big data analytics and the techniques that are currently available to analysis big
data
Big data is explained as datasets which are used to store and process large volume of
data. Big data is considered as effective mode for integration of data sets which is considered as
complex but also useful in different scenario. Big data objectives is to handle large volume of
data and also process and manage large volume of data effectively. There are various challenges

which are faced during such process due to its complexity and these challenges are mentioned
below:
Uncertainty - One of the challenges faced during management of big data is various innovative
tools and techniques for data management which is focused on processing of data. Management
of data is uncertain in Big data as its performance demands of big data application. Wide range
of tools and techniques, developers and market status are among the aspects which are creating
uncertainty with management of data.
Talent Gap – It is important to understand the need of Big data for extracting and gathering
reliable information for making business decision. It is difficult to understand importance of
technology without approval of analysts and it can only be possible through understanding value
of big data. In business environment there is lack of expertise for big data technologies and
experts have gained knowledge about implementation tool and use such knowledge for
programming apart from big data.
Extracting Information – One of the most practical uses of Big data is to extract information
from volume of data which is helpful in making business decision. It is also considered as
business intelligence because it helps in connecting with different platforms and also helps in
providing valuable information to users. Increment in demand of such options could help in
different aspects of business process cycle. It also becomes challenge in big data to ensure
availability of data at right time according to need of user.
There are various techniques for analysing Big data which are mentioned below:
A/B Testing – This technique focuses upon comparing a group with number of test groups and
helps in understanding about changes that would affect objective variable.
Data fusion – This focuses on combining various techniques and then analysing data from
various sources such data is considered as more effective and accurate in nature.
Data mining – This technique is considered as one of the effective technique which is used to
extract information from large volume of data.
Natural language processing – It is explained as technique in which data is analysed through
algorithms.
How Big Data technology could support business
Big data can help business in creating lot of opportunities for growth and development. It
helps in developing new segment of business which is helpful in expansion of business capital

and profits. Big data also help business in gaining information about trends and pattern in
business environment and helps in identifying potential threats and opportunities for business. It
also helps in estimating metrics and assist in improving customer service by taking necessary
actions. By use of Big data, such practices are more frequently used by business in order to boost
their productivity and profitability. These days Big data is used by both private and public
sectors business for understanding trends and patterns in business environment.
Big data helps in understanding about need of products by consumer as it collects data
about need and preference of consumer. Businesses uses Big data as a tool to understand about
thinking and perception of consumers about particular product or services. One of the examples
of this is a bank where clerk can use Big data to access the profile of client. It can help clerk in
understanding about need and preference of client.
CONCLUSION
This report concludes about the Big data and its various characteristic which makes it
effective and efficient. It can be concluded from this report that Big data plays vital role in
decision making for any business as it helps in understanding about need and preference of
consumers.

REFERENCES
Books and Journals
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Gupta, D. and Rani, R., 2019. A study of big data evolution and research challenges. Journal of
Information Science. 45(3). pp.322-340.
Hussain, T., Sanga, A. and Mongia, S., 2019, October. Big Data Hadoop Tools and
Technologies: A Review. In Proceedings of International Conference on Advancements
in Computing & Management (ICACM).
Ranjan, J. and Foropon, C., 2021. Big data analytics in building the competitive intelligence of
organizations. International Journal of Information Management. 56. p.102231.
Shakoor, N., and et. al., 2019. Big data driven agriculture: big data analytics in plant breeding,
genomics, and the use of remote sensing technologies to advance crop productivity. The
Plant Phenome Journal. 2(1). pp.1-8.
Taher, Y., Haque, R. and Hacid, M. S., 2017, September. Bdlaas: Big data lab as a service for
experimenting big data solution. In 2017 IEEE 2nd International Workshops on
Foundations and Applications of Self* Systems (FAS* W) (pp. 155-159). IEEE.
Venkatraman, R. and Venkatraman, S., 2019, August. Big data infrastructure, data visualisation
and challenges. In Proceedings of the 3rd International Conference on Big Data and
Internet of Things (pp. 13-17).