Big Data: Characteristics, Challenges, Techniques and Business Support

Big Data

Table of Contents
INTRODUCTION...........................................................................................................................3
Big data............................................................................................................................................3
Characteristics of Big Data.....................................................................................................3
Challenges of big data analytics.............................................................................................4
Techniques available to analyse big data...............................................................................4
How big data technologies helps to support a business enterprise.........................................5
CONCLUSION................................................................................................................................6
REFERENCES................................................................................................................................7
Appendix: Poster..............................................................................................................................7

INTRODUCTION
This report is regarding to big data in which different types of data, challenges and
techniques of big data analysis is explained. Basically, big data is the data which characterises
huge variety, increasing volumes with more velocity. Big data are more complex data sets and
specially data from new data sources. Documents, emails, customer databases, medical records
and many more comes under big data. Velocity, volume, variety and veracity are main
characteristics of big data. There are some techniques such as: machine learning, social network
analysis and others which are used to analyse the data. This report also includes how big data is
helpful in supporting business objectives and functions.
Big data
Big data are the large, detailed and more diversified sets of information which grows at
increasing rates ever. It can be characterise as structured or unstructured. Structured consists of
already managed information which is frequently numeric in nature. Unstructured is unorganized
set of information including data collected from social media, which helps organizations collect
information on customer needs (Hancockand Khoshgoftaar, 2020). Big data is usually stored in
the databases of computer and it it analysed with the help of a software which is specially
designed to handle large amount of data sets which are more complex.
Characteristics of Big Data
 Volume: Big data is large in volume. It is considered that we create 2.3 trillion gigabytes
of data every day and this volume will only keep increasing day by day.
 Velocity: It is the speed at which data is generated and processed. Today, data is
generated in the real time. This is not because of speed of net only but also because of
presence of big data itself.
 Variety: Big data is available in a wide variety such as: data from watched you tube
videos, records of patients in healthcare, posts we share on social media such as:
Facebook, Instagram and others, chat backups from various social media, etc.
 Veracity: Big data is from original data source. It is accurate, consistent, quality worth
and truth worthiness.