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ANALYTICS SERVICES BIG DATA ANALYTICS Services Journal support | Dissertation support | Analysis | Data collection | Coding & Algorithms | Editing & Peer- Reviewing Copyright © 2020 PhdAssistance. All rights reserved
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Data Analytics | Big Data Analytics Services - Phdassistance.com

Sep 08, 2020

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Big data analytics is the process used for interpreting large data which includes market trends, hidden patterns, customer requirements and other details which deems useful for organizations to make clear business decisions. The term used for the collection of large data sets that are very huge and complex is called big data. This type of data is often difficult to process. The use of traditional tools or applications is not possible with big data. The size of this data exceeds in Petabytes. Since this type of data has a huge variety, it brings multiple challenges in reference to its complexity and volume that is associated with big data types. According to recent surveys, it is observed that nearly 80% of the data that is created is available in an unstructured way. The first and foremost important challenge is how to structure and store that data. Certain tools are used for this purpose. The following list of tools will help us analyze Big Data. Learn More About: https://bit.ly/3bLqaBj Contact Us: Website : https://www.phdassistance.com/ UK NO: +44–1143520021 India No: +91–8754446690 Email: [email protected]
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Page 1: Data Analytics | Big Data Analytics Services - Phdassistance.com

ANALYTICS SERVICESBIG DATA ANALYTICS

Services

Journal support | Dissertation support | Analysis | Data collection | Coding & Algorithms | Editing & Peer- Reviewing

Copyright © 2020 PhdAssistance. All rights reserved

Page 2: Data Analytics | Big Data Analytics Services - Phdassistance.com

Journal support | Dissertation support | Analysis | Data collection | Coding & Algorithms | Editing & Peer- Reviewing

Copyright © 2020 PhdAssistance. All rights reserved

What is Big Data

Big data Analytics Tools

Our Offerings

Service Features of Big Data Analytics

Astounding Ph.D. big data support for the US/UK students

Our Guarantees

Outline

Page 3: Data Analytics | Big Data Analytics Services - Phdassistance.com

Journal support | Dissertation support | Analysis | Data collection | Coding & Algorithms | Editing & Peer- Reviewing

Big data is described as holistic and large-set informationgenerated from multiple sources at high-velocity, high-volume and high variety all time.

Especially, big data analytics is useful to extract meaningfulinsight from a large subset of information.

It is helpful to the organization for understanding thecompetitive advantage, current situation and enhancesdecision-making power by empowering the data.

Big data analytics is an approach to gathering, sorting andanalyzing bulky sets of data to explore useful insights.

What isBig-Data

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Page 4: Data Analytics | Big Data Analytics Services - Phdassistance.com

Journal support | Dissertation support | Analysis | Data collection | Coding & Algorithms | Editing & Peer- Reviewing

YARN

Hadoop

Hive

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Big dataAnalyticsTools

We use multiple Big data analytics tools to extractvoluminous data such as

MapReduce

Spark

Pig and NoSQL databases

Page 5: Data Analytics | Big Data Analytics Services - Phdassistance.com

Journal support | Dissertation support | Analysis | Data collection | Coding & Algorithms | Editing & Peer- Reviewing

Our Offeringsunder the Ph.D. research we are offering three types ofservices based on big data.

Basic

Only Statistical Analysis based on the raw datashared. We analyze the data using appropriatestatistical tools and just paste the output.

Advanced

In addition to the above, we write the basicinterpretation without any discussion against theliterature review.

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Contd..

Page 6: Data Analytics | Big Data Analytics Services - Phdassistance.com

Copyright © 2019 PhdAssistance. All rights reserved

Premium

We analyze the given data using appropriatestatistical tools and format the tables per themanuscript style with logical sense.

We write the interpretation of the statisticsconducted along with the discussion by comparingthe previous studies conducted as presented in yourChapter II (Literature Review).

Journal support | Dissertation support | Analysis | Data collection | Coding & Algorithms | Editing & Peer- Reviewing

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Page 7: Data Analytics | Big Data Analytics Services - Phdassistance.com

Journal support | Dissertation support | Analysis | Data collection | Coding & Algorithms | Editing & Peer- Reviewing

ServiceFeatures of Big DataAnalytics

Analytical big data services

Descriptive analytics services

Predictive analytics services

Data mining help

Web mining support

Prescriptive analytics services

Contd..

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Page 8: Data Analytics | Big Data Analytics Services - Phdassistance.com

Journal support | Dissertation support | Analysis | Data collection | Coding & Algorithms | Editing & Peer- Reviewing

The first phase of research will be the exploratory phase. Qualitative studiesare suited for the exploratory phase (Blaikie, 2000; Maxwell, 2005).

This will help in determining the research design, sampling methodology anddata collection method.

This will form the basis of conclusive or confirmatory research in the end.

Exploratory will turn into explanatory during hypotheses test about cause-and-effect relationships.

The research will end with confirmatory factor analysis.

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Page 9: Data Analytics | Big Data Analytics Services - Phdassistance.com

Journal support | Dissertation support | Analysis | Data collection | Coding & Algorithms | Editing & Peer- Reviewing

We will provide you with the concept

Full assistance in implementation

Execution

Writing of the thesis

Integrating big data with conventionalresearch methodology

Astounding Ph.D. big datasupport for the US/UK students

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Contd..

Page 10: Data Analytics | Big Data Analytics Services - Phdassistance.com

Journal support | Dissertation support | Analysis | Data collection | Coding & Algorithms | Editing & Peer- Reviewing

Data collection, analysis, andinterpretation

Project compilation and presentation

Relevant findings

Discussion and conclusion

Formatting

Referencing

Appendices

Research paradigm

Conceptual framework

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Page 11: Data Analytics | Big Data Analytics Services - Phdassistance.com

Journal support | Dissertation support | Analysis | Data collection | Coding & Algorithms | Editing & Peer- Reviewing

0% Plagiarism content

Originality

Reasonable cost

100% Match with requirement

Meet Deadline

Word Count Committed

Quality check

Unlimited Revision

Latest referenced sources

OurGuarantees

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Page 12: Data Analytics | Big Data Analytics Services - Phdassistance.com

Journal support | Dissertation support | Analysis | Data collection | Coding & Algorithms | Editing & Peer- Reviewing

Contact Us Work With UsUK: +44-1143520021

[email protected]

INDIA: +91-4448137070

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