Big Data and its dimensions
Added on 2023-06-12
11 Pages2004 Words101 Views
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Big Data and its
dimensions
dimensions
![Big Data and its dimensions_1](/_next/image/?url=https%3A%2F%2Fdesklib.com%2Fmedia%2Fbig-data-management-techniques_page_1.jpg&w=3840&q=10)
Table of Contents
INTRODUCTION ..........................................................................................................................3
A brief overview of big data.......................................................................................................4
Characteristics of big data...........................................................................................................4
The challenges of big data analytics and techniques available to analyse big data....................5
Big data technology could support business by using examples................................................6
CONCLUSION ...............................................................................................................................8
REFERENCES................................................................................................................................9
INTRODUCTION ..........................................................................................................................3
A brief overview of big data.......................................................................................................4
Characteristics of big data...........................................................................................................4
The challenges of big data analytics and techniques available to analyse big data....................5
Big data technology could support business by using examples................................................6
CONCLUSION ...............................................................................................................................8
REFERENCES................................................................................................................................9
![Big Data and its dimensions_2](/_next/image/?url=https%3A%2F%2Fdesklib.com%2Fmedia%2Fbig-data-management-techniques_page_2.jpg&w=3840&q=10)
INTRODUCTION
In the modern IT world, big data management techniques helps a business to develop
effective measures in order to develop data management (Chen, Ramanathan, and Alazab, 2021).
This is crucial role of a business entity to take into consideration application of big data
management for welfare of the whole company. The big data management is also termed as a
key approach which is beneficial in development of company's strength. All major companies at
the marketplace should focus on management of big data for systematic arrangement of data.
This project includes analysis and explanation of different consequences and issues which are
essential in briefly analysing big data . The report includes big data management and different
practices that can support a business functioning and the way in which it can help in
development of a business.
In the modern IT world, big data management techniques helps a business to develop
effective measures in order to develop data management (Chen, Ramanathan, and Alazab, 2021).
This is crucial role of a business entity to take into consideration application of big data
management for welfare of the whole company. The big data management is also termed as a
key approach which is beneficial in development of company's strength. All major companies at
the marketplace should focus on management of big data for systematic arrangement of data.
This project includes analysis and explanation of different consequences and issues which are
essential in briefly analysing big data . The report includes big data management and different
practices that can support a business functioning and the way in which it can help in
development of a business.
![Big Data and its dimensions_3](/_next/image/?url=https%3A%2F%2Fdesklib.com%2Fmedia%2Fbig-data-management-techniques_page_3.jpg&w=3840&q=10)
MAIN BODY
A brief overview of big data
In the recent times it is important for a business to focus on analysing big data with
different techniques. The big data is a practice of management of data through software and
cloud based services in order to lead the marketplace. Big data technology is increased with the
enhancement in globalisation. The evolution of big data based practices in recent times have
directed different traditional business organisations to shift to digital business. In the corporate
world also big data techniques are emerging in an effective manner. All major companies in the
international and national marketplace focus on developing IT practices in a professional manner
(Chen, Lin, and Wu, 2020). The different sets of example related to big data technology includes
Hadoop, Spark, NO-SQL, Hive and cloud. Practices based on big data involve effective
measures which enable a company to develop data protection of different customers. Data
synchronisation and management helps a company to deliver effective practices related to big
data. The data storage and data mining also facilitate a company to develop major practices
related to big data management.
Characteristics of big data
In the management of big data practices, there are different characteristics which put a
major impact on development of crucial aspects. It is important and compulsory for an individual
to analyse different characteristics related to big data for focused development. The different
characteristics of big data management are mentioned below:
Volume of data- The volume of data is described as the amount of data involved in
storing a crucial information. In big data management, the volume of data is considered
as a major parameter which includes high level of data storage (Ferraris, Mazzoleni, and
Couturier, 2019). It is also one of the crucial role of a business to develop major big data
management for storing the data.
Variety of data- In the data management, variety of data includes application of data in
different ways. The variety of data includes segmented data into different parts which
enables a company to divide data. The data is divided into different parts which includes
different dimensions of data development in recent times.
Velocity of data- The velocity of data includes, transferring speed of data which is
important to be traced by the company. It is crucial role of a business entity to focus on
A brief overview of big data
In the recent times it is important for a business to focus on analysing big data with
different techniques. The big data is a practice of management of data through software and
cloud based services in order to lead the marketplace. Big data technology is increased with the
enhancement in globalisation. The evolution of big data based practices in recent times have
directed different traditional business organisations to shift to digital business. In the corporate
world also big data techniques are emerging in an effective manner. All major companies in the
international and national marketplace focus on developing IT practices in a professional manner
(Chen, Lin, and Wu, 2020). The different sets of example related to big data technology includes
Hadoop, Spark, NO-SQL, Hive and cloud. Practices based on big data involve effective
measures which enable a company to develop data protection of different customers. Data
synchronisation and management helps a company to deliver effective practices related to big
data. The data storage and data mining also facilitate a company to develop major practices
related to big data management.
Characteristics of big data
In the management of big data practices, there are different characteristics which put a
major impact on development of crucial aspects. It is important and compulsory for an individual
to analyse different characteristics related to big data for focused development. The different
characteristics of big data management are mentioned below:
Volume of data- The volume of data is described as the amount of data involved in
storing a crucial information. In big data management, the volume of data is considered
as a major parameter which includes high level of data storage (Ferraris, Mazzoleni, and
Couturier, 2019). It is also one of the crucial role of a business to develop major big data
management for storing the data.
Variety of data- In the data management, variety of data includes application of data in
different ways. The variety of data includes segmented data into different parts which
enables a company to divide data. The data is divided into different parts which includes
different dimensions of data development in recent times.
Velocity of data- The velocity of data includes, transferring speed of data which is
important to be traced by the company. It is crucial role of a business entity to focus on
![Big Data and its dimensions_4](/_next/image/?url=https%3A%2F%2Fdesklib.com%2Fmedia%2Fbig-data-management-techniques_page_4.jpg&w=3840&q=10)
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