Techniques for Analyzing Big Data

Techniques that are
currently available to
analysing big data

Table of Contents
INTRODUCTION...........................................................................................................................1
MAIN BODY...................................................................................................................................1
What is big data and their characteristics....................................................................................1
Challenges of big data analytics..................................................................................................2
The techniques that are currently available to analysis big data.................................................3
How big data technology could support business and explanations with examples...................4
CONCLUSION................................................................................................................................5
REFERENCES................................................................................................................................6

INTRODUCTION
Big data analysis is essential method for data collection that broadly used to determine
big sets of structured or unstructured data. There are different technologies supporting the current
big data ecosystem. Different organisations are looking for data solutions to achieve competitive
advantage in the market and manage in proper manner (Singh and et.al, 2020). This report based
on the big data analysis in which discuss about the big data and their characteristics, challenges
of big data analytics. Along with discuss about the different techniques that are available for big
data analysis and support business with examples.
MAIN BODY
What is big data and their characteristics
Big data is collection of data in large volume and manage by the organisation with
traditional data management tools for the process efficiently. Big data analysis is a procedure
that is utilised to present meaningful insight like hidden patterns, market trends, unknown
correlation and customer preferences. It provides different advantages that can be used for
effective decision making, preventing fraudulent activities among other things. It plays for a
large and complex data sets that can be focused from different terabytes to exabytes. Different
organisations that apply big data analytics often reap various business benefits, enhance
customer service delivery, effective marketing campaign, discovery of new revenues
opportunities and competitive advantage (Entezami and et.al, 2020). It is a set of concepts as
well as characteristics of big data analytics mainly means in different way and for the follow
processing, storing and determining large volume data with extra means to traditional database.
There are mentioned different characteristics of big data analytics such as:
 Variety: Big data is set in categorised into structured, unstructured and semi structured
way that is collected by the company from various sources. On the basis of previous
activities, information must be gathered from data bases as well as spreadsheets.
Currently, data comes in array like emails, photos, SM posts, videos and many more. It is
one of the main characteristic of big data (Abidi and Abidi, 2019).
 Velocity: This term defines about speed of generating of data to fulfil the requirement of
data (Faccia, 2020). This characteristics presents that deals with the speed of data flow in
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