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Big Data analysis

Big Data analysis

While most applications of blockchain technology have emerged in the financial sector (for example, Zcash, Circle, and Abra), its practical applications go beyond finance, because essentially any type of digital asset can be tracked and traded through a blockchain. Many different industries are experimenting in the blockchain space, even though this experimentation is still in its early stages. Examples range from medical records (MedRec, PokitDok), to digital rights and micropayments (Brave Browser, Ascribe, Open Music Initiative), identity systems (uPort), and supply chains (Everledger, Hyperledger).For your literature review this week, you are required to choose a blockchain initiative that interests you. It could be an existing application that you have come across in your own research, one of the examples listed above, or an idea that you may have for blockchain technology as a solution to a business problem.You are to review the literature on your blockchain initiative and discuss problems and gaps that have been identified in the literature. You will expand on the issue and how researchers have attempted to examine that issue by collecting data – you are NOT collecting data, just reporting on how researchers did their collection.

Paper Layout:

  1. Title Page
  2. Table of contents:
    1. Use a Microsoft Enabled Table of Contents feature.
  3. Background:
    1. Describe the issue, discuss the problem, and elaborate on any previous attempts to examine that issue. Be sure to discuss similar blockchain initiatives here.
  4. Research Questions:
    1. In the identified problem area that you are discussing, what were the research questions that were asked? Be sure to include main research questions from all the literature you are reviewing.
  5. Methodology:
    1. What approach did the researcher use, qualitative, quantitative, survey, case study? Describe the population that was chosen. You will discuss the methodology for all the literature you are reviewing.
  6. Data Analysis:
    1. What were some of the findings, for example, if there were any hypotheses asked, were they supported?
  7. Conclusions:
    1. What was the conclusion of any data collections, e.g., were research questions answered, were hypotheses supported? Be sure to also include the similarities and differences between the literature. Also discuss here the future of this blockchain initiative and if it is a viable initiative.

Paper requirements:

  • Be a minimum of 7 pages in length, not including the required cover page and reference pages.
  • Follow APA 7 guidelines. Be sure to conduct research on formatting literature reviews.
  • Your literature review should include a minimum of 8 scholarly peer-reviewed journal articles. The UC Library is a great place to find resources.
  • Be clear and well-written, concise, and logical, using excellent grammar and style techniques. You are being graded in part on the quality of your writing. You can use Grammarly for help with your grammar and spelling.

 

 

 

Big Data analysis

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The concept of Big Data

The concept of Big Data

topic : The concept of Big Data

COMP1702 The concept of Big Data Faculty Header ID Contribution: 100% of course
Course Leader: Coursework Deadline Date:

25 April 2022 (23:30)

Feedback and grades are normally made available within 15 working days of the coursework deadline

The concept of Big Data  Learning Outcomes:

1 Explain the concept of Big Data and its importance in a modern economy 2 Explain the core architecture and algorithms underpinning big data processing 3 Analyse and visualize large data sets using a range of statistical and big data technologies 4 Critically evaluate, select and employ appropriate tools and technologies for the development of big data applications

Plagiarism is presenting somebody else’s work as your own. It includes copying information directly from the Web or books without referencing the material; submitting joint coursework as an individual effort; copying another student’s coursework; stealing coursework from another student and submitting it as your own work. Suspected plagiarism will be investigated and if found to have occurred will be dealt with according to the procedures set down by the University. Please see your student handbook for further details of what is / isn’t plagiarism.
All material copied or amended from any source (e.g. internet, books) must be referenced correctly according to the reference style you are using.

Your work will be submitted for plagiarism checking. Any attempt to bypass our plagiarism detection systems will be treated as a severe Assessment Offence.

The concept of Big Data  Coursework Submission Requirements
· An electronic copy of your work for this coursework must be fully uploaded on the Deadline Date of 25th April 2022 using the link on the coursework Moodle page for COMP1702.

· For this coursework you must submit a single report in PDF format . In general, any text in the document must not be an image (i.e. must not be scanned) and would normally be generated from other documents (e.g. MS Office using “Save As .. PDF”). An exception to this is handwritten mathematical notation, but when scanning do ensure the file size is not excessive.

· There are limits on the file size (see the relevant course Moodle page).

· Make sure that any files you upload are virus-free and not protected by a password or corrupted otherwise they will be treated as null submissions.

· Your work will not be printed in colour. Please ensure that any pages with colour are acceptable when printed in Black and White.

· You must NOT submit a paper copy of this coursework.

· All coursework must be submitted as above. Under no circumstances can they be accepted by academic staff

The University website has details of the current Coursework Regulations, including details of penalties for late submission, procedures for Extenuating Circumstances,

( 1 )

and penalties for Assessment Offences. See http://www2.gre.ac.uk/current- students/regs

Detailed Specification

You are expected to work individually and complete a report that addresses the following tasks. You need to cite all sources you rely on with in-text style. You may include material discussed in the lectures or labs, but additional credit will be given for independent research. Note: References should be in Harvard format. The word count does NOT include references.

· Part A (25 Marks)
· Task A.1 [mark 10] Explain the main characteristics of Big Data. (Word count: 200 words ±10%)

· Task A.2 [mark 15] Compare Hadoop and Relational Database Systems. Give an application scenario that is well suited to Hadoop and explain your reason. (Word count: 300 words ±10%)

· Part B (30 Marks): MapReduce Programming
Suppose that you have a large student file which cannot be stored in a single machine. Each record of this file contains information: (Student_ID, Student_Name, Sex, Age, Module, Grade, Department).

· Task B.1 [mark 15] Please design a MapReduce Algorithm (Pseudo-codes or Java Codes) to output the average grade for each module. The algorithm is expected to be as efficient as possible.

· Task B.2 [mark 15] Describe the algorithm designed. You should explain how the input is mapped into (key, value) pairs by the map stage, i.e., specify what is the key and what is the associated value in each pair, and, if needed, how the key(s) and value(s) are computed. Then you should explain how the output (key, value) pairs of the map stage are processed by the reduce stage to

get the final answer(s). You should also analyse the efficiency of the MapReduce algorithm designed. (Word count: 300 words ±10%)

· Part C (45 marks): Big Data Project Analysis

The CropY company is a leading provider of precision agriculture service. Precision agriculture is the science of gathering, processing, and analysing temporal, spatial and individual data. It combines other information to support management decisions according to estimated variability for improved resource use efficiency, productivity, quality, profitability.

The CropY company is now plan to develop a big data project to meet the following requirements: help worldwide users better understanding the implications of the weather and making contingency plans; buying supplies, such as fertilizer and seeds; as well as maintaining and monitoring the quality of yield, whether livestock or crops; knowing the variety of cultivated plants, conditions of its growth and its needs of seeds; choosing the type of fertilizer and pesticides, understanding their employment conditions and their impact on the climate- soil-plant; recognizing daily water needs for each kind of plant; calculating the median and mean values of yield; studying the conditions of natural environment; estimating the financial revenue and manage the potential risks.

· Task C.1 [mark 10]: The volume of big data is expected to be more than 500 Petabytes. The data will come from various sensors, satellites, drones, social media, market data, Online news feed etc. The Figure 1 below shows some example data of CropY company. Some IT technician plan to build a data warehouse to store data for further data analysis tasks but some others believe data lake is a better choice. Which choice do you prefer? Please justify your choice. (Word count: 300 words ±10%)

Figure 1. Example Data of CropY Company

· Task C.2 [mark 10]: The data of CropY company includes a large collection of plants, corps, diseases, symptoms, pests, and relationships between them. The CropY company needs to build a data analytical store which can facilitate queries like: “find all diseases which are directly or indirectly caused by nitrogen

deficiency”. Please recommend a data store and justify your choice. (Word

count: 300 words ±10%)

· Task C.3 [mark 15]: Some prediction and analytics services provided by the CropY company require to response in a few seconds after the arrival of new data. Namely, they are real time or near real time prediction and analytics tasks. Some IT managers suggested a popular distributed processing framework — MapReduce to implement these tasks. Do you agree with that? Please justify your choice. (Word count: 300 words ±10%)

· Task C.4 [mark 10]: CropY company decided to move most of applications and services to cloud. These applications and services need to be highly available, scalable, and accessible from worldwide. Note that some data such as price and customer data are confidential. Please design a cloud hosting strategy for this big data project and explain how your design will meet the security, scalability, high availability. (Word count: 300 words ±10%)

Grading Criteria

Grade 80-100% Exceptional

Clear evidence of research

Excellent quality and innovation with total control of all relevant material. Demonstrate outstanding insight and an ability to structure and synthesise material.

Demonstrates an excellent Understanding of the material and issues

Relevant use of referencing and examples. The reference is complete and precise. Expression/style/grammar outstanding.

Grade 70-79% Excellent

Clear evidence of research

Able to criticise and evaluate material.

Demonstrate good insight and an ability to structure and synthesise material Demonstrates a good

understanding of the material and issues Professional standard of report

The reference is nearly complete and precise.

Grade 60-69% Very Good

Evidence of adequate research

Meets the essential functional requirements

The design uses the appropriate frameworks but may have errors. Acceptable standard of report The references are basically satisfactory.

Grade 50-59% Good

A partial response to the question

Little sustained attempt to develop a coherent answer limited reading

The evidence may be misremembered, vague or insufficient to constitute a serious response Containing errors of fact or interpretation

The references are NOT enough.

Grade <50% Fail

Few requirements met Poor standard of report

Does not demonstrate self-direction or originality in problem solving or a critical self-evaluation of the project process

No (or wrong) References

 

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Big Data Visualization tools

Big Data Visualization tools

topic :Big Data Visualization tools

Several Big Data Visualization tools have been evaluated in this week’s paper. While the focus was primarily on R and Python with GUI tools, new tools are being introduced every day. Compare and contrast the use of R vs Python and identify the pros and cons of each. Provide an example of both programming languages with coding examples as well as your experience in using one or both programming languages in professional or personal work. If you have no experience with either language, please discuss how you foresee using either/both of these languages in visualizing data when analyzing big data.

Please make your initial post and two response posts substantive. A substantive post will do at least two of the following:

Ask an interesting, thoughtful question pertaining to the topic
Answer a question (in detail) posted by another student or the instructor
Provide extensive additional information on the topic
Explain, define, or analyze the topic in detail
Share an applicable personal experience
At least one scholarly source should be used in the initial discussion.

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Big Data Analytics Overview

Big Data Analytics Overview

topic : Big Data Analytics Overview

Big Data Analytics Overview

For this assignment, you will come up with a research question and explore it using the techniques of data analysis that we have described in class and explored in the labs. You will develop your own research question and answer that using data from the attached work safety data. You will perform all of the data processing and analysis steps performed using excel or any other software of your choice. Steps you will complete include:  Open the attached work safety dataset.  Combine and clean data, recode and prepare excel spreadsheets with the variables of interest  Change variable names and labels  Check for missing data types and variables  Code categorical variables in letters or symbols (age group, gender, incident cost, shift) into numerical variables.  Compute descriptive statistics (mean, standard deviation, median, minimum, maximum) for incident cost and day lost.  Compute frequencies for age group, gender, incident type and shift.  Perform histograms of incident cost and day lost.  Perform bar graphs and pie chart of age group, gender, incident type and shift.  Perform a scatterplot of incident cost (dependent variables) versus day lost (independent variable).  Compute a correlation between incident cost and day lost.  Perform a simple linear regression analysis between incident cost and day lost.  Perform a multiple linear regression between incident cost and day lost, age group, gender, incident type and shift.  Interpret the analyses  Write-up your findings Components of your analysis Your analysis must include the following and you must interpret the findings. Statistics that exist on their own with no interpretation will not count. 1. Descriptive statistics: 1.1 Show output for and describe descriptive statistics for at least 4 variables 1.2 Show and describe histograms and scatterplots (total of 7 graphics). Histograms with “frequency” on the y-axis are often the most straightforward to interpret. 3. Correlation: Show output for and describe correlations for at the two continuous variables. 4. Regression: 4.1. Complete the bivariate regressions, show output for and describe (coefficients, t- stat, p-value, r-squared) 4.2. Complete the multiple linear regression, show output for and describe (coefficients, t-stat, p-value, r-squared) Note: We do not want to read about all of the intermediary steps that you did, see all of the output you created, hear about syntax errors, things you fixed, etc. Do not include all of your work – only the relevant parts. Requirements: Your assignment includes the following: 1. A narrative of the analysis you conducted, complete with an introduction, Stata output inserted in the body of the text, your interpretations of the output, and a conclusion. Be sure to:  Explain your reasoning for including each independent variable, along with your hypothesis for how you thought it would affect the dependent variable (again, you could help to illustrate your reasoning using scatter plots, histograms, or descriptive statistics)  Be sure to explain any regression outputs you include clearly, interpreting the r-squared, the coefficients on the independent variables, and the related p- values in plain language.  What can you conclude based on your results? Provide a clear conclusion

 

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Blockchain Big Data And Government Policies

Blockchain Big Data And Government Policies

topic : Blockchain Big Data And Government Policies

The final portfolio project is a three- part activity. You will respond to three separate prompts but prepare your paper as one research paper. Be sure to include at least one google scholar per prompt, which means you’ll have at least 4 sources cited. Start your paper with an introductory paragraph.

Prompt 1 “Blockchain” (2-3 pages): Explain the major components of blockchain. Be sure to include how blockchain is affecting a global economy and how you see it growing in the future.

Prompt 2 “Big Data” (1-2 pages): Describe your understanding of big data and give an example of how you’ve seen big data used either personally or professionally. In your view, what demands is big data placing on organizations and data management technology? How does big data affect a global economy.

Prompt 3 “Government and Policies” (1-2 pages): Discuss the role government plays in a global economy. Also, look at what policies are currently in place and then discuss what policies should be put in place. Conclude your paper with a detailed conclusion section. The paper needs to be approximately five pages long, not including both a title page and a references page (for a total of seven including referece). Be sure to use proper APA formatting and citations to avoid plagiarism. Your paper should meet these requirements:

Be approximately 4 – five pages in length, not including the required cover page and reference page.
Follow APA 7 guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.
Support your answers with the readings from the course and at least two scholarly journal articles to support your positions, claims, and observations, in addition to your textbook.
Be clearly and well-written, concise, and logical, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.

 

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Big Data Means Big Potential

Big Data Means Big Potential

topic : Big Data Means Big Potential

When you wake in the morning, you
may reach for your cell phone to reply to a few text or email messages that you
missed

overnight. On your drive to work, you may stop to refuel your car. Upon
your arrival, you might swipe a key card at the door to gain

entrance to the
facility. And before finally reaching your workstation, you may stop by the
cafeteria to purchase a coffee.

From the moment you wake, you are
in fact a data-generation machine. Each use of your phone, every transaction
you make using a debit or credit card, even your entrance to your place of
work, creates data. It begs the question: How much data do you generate

each
day? Many studies have been conducted on this, and the numbers are staggering:
Estimates suggest that nearly 1 million bytes of data are generated every
second for every person on earth.

As the volume of data increases,
information professionals have looked for ways to use big data—large, complex
sets of data that

require specialized approaches to use effectively. Big data
has the potential for significant rewards—and significant risks—to healthcare.
In this Discussion, you will consider these risks and rewards.

To Prepare:

Review the Resources and reflect on the web
article Big Data Means Big Potential, Challenges for Nurse Execs.
Reflect on your own experience with complex health
information access and management and consider potential challenges and
risks you may have experienced or observed.

By Day 3 of Week 5

Post a description of
at least one potential benefit of using big data as part of a clinical system
and explain why. Then, describe at least one potential challenge or risk of
using big data as part of a clinical system and explain why. Propose at least
one strategy you have experienced (I work the telemetry unit), observed, or researched that may effectively
mitigate the challenges or risks of using big data you described. Be specific
and provide examples.

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Big Data (Database) Research

Big Data (Database) Research

topic : Big Data (Database) Research

Discussion 1 (Chapter 25): How do you define big data? What are the implications from the three industry trends (Three V’s), presented in the textbook, by the Gardner Group? Three V’s presented in the textbook are as follows: Volume, Velocity, and Variety.

Instructions: Your response to the initial question should be 250-300 words. Next respond to two postings provided by your classmates. The first post should be made by Wednesday 11:59 p.m., EST. I am looking for active engagement in the discussion. Please engage early and often. You are require to create your initial thread in order to view and respond to the threads posted by other students. There must be at least one APA formatted reference (and APA in-text citation) to support the thoughts in the post as needed. Do not use direct quotes, rather rephrase the author’s words and continue to use in-text citations.

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Big Data And Global Economy

Big Data And Global Economy

topic : Big Data And Global Economy

The final portfolio project is a three- part activity. You will respond to three separate prompts but prepare your paper as one research paper. Be sure to include at least two to three (2 – 3) Scholarly source per prompt, (which means you’ll have at least 7 sources cited). Start your paper with an introductory paragraph.

Prompt 1 Blockchain (3 pages): Explain the major components of blockchain. Be sure to include how blockchain is affecting a global economy and how you see it growing in the future.
Prompt 2 Big Data (3 pages): Describe your understanding of big data and give an example of how you’ve seen big data used either personally or professionally. In your view, what demands is big data placing on organizations and data management technology? How does big data affect a global economy.
Prompt 3 Government and Policies (3 pages): Discuss the role government plays in a global economy. Also, look at what policies are currently in place and then discussion what policies should be put in place.
Conclude your paper with a detailed conclusion section (2 pages long).The Big Data And Global Economy paper should meet the following requirements:

Be approximately 10 pages in length, not including the required cover page and reference page.
Follow APA7 guidelines. Your paper should include an introduction, a body with fully developed content, In-cite text and a conclusion.
Support your answers with the readings from the course, the course textbook, and at least ten scholarly journal articles to support your positions, claims, and observations, in addition to your textbook. The google scholar is a great place to find supplemental resources.
Be clearly and well-written, concise, and logical, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.

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Big data comprehensive assessment

Big data comprehensive assessment
Assessment: Big data comprehensive assessment
Project is a comprehensive assessment of what you have learned during this course.

It has two parts: Limitations of Blockchain and Emerging Concepts.

Blockchain continues to be deployed into various businesses and industries. However, Blockchain is not without its problems. Several challenges have already been associated with the use of this technology. Identify at least 5 key challenges to Blockchain. Additionally, discuss potential solutions to these challenges. Lastly, please discuss if we will see the limitations to blockchain be reduced or mitigated in the future.

There are several emerging concepts that are using Big Data and Blockchain Technology. Please search the internet and highlight 5 emerging concepts that are exploring the use of Blockchain and Big Data and how they are being used.

Conclude your paper with a detailed conclusion section which discusses both limitations and emerging concepts.

Your paper should meet the following requirements:

Be approximately six to eight pages in length, not including the required cover page and reference page.

Follow APA 7 guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.

Support your answers with the readings from the course and at least ten scholarly journal articles to support your positions, claims, and observations, in addition to your textbook.

Be clearly and well-written, concise, and logical, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.

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Big data comprehensive assessment

 
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Big Data Solution for Businesses

Big Data Solution for Businesses

CIS 5681 Research Project

Big Data Solution for Businesses

Term Paper Requirements

Purpose:

The purpose of this assignment is to give the student the opportunity to examine an issue, take a position and defend the position. It will also give the student an opportunity to use research resources that can serve lifelong learning.

Requirements:

Deadlines for identifying a topic and supplying an outline are listed in the course schedule. The topic must be approved by the instructor.

Formatting for all submissions:

Typed, using Arial or Times New Roman font

12-point font size

One-inch margins on all four edges

Double spaced

Page numbering at bottom (excluding the cover sheet on final draft)

Headings as appropriate

Citations and references using Chicago-style.

Additional formatting for final draft:

Approximately five pages (1700 to 1900 words) excluding the cover sheet and reference list

Cover sheet should include the paper’s title, course title, date and author’s name with email address.

Examples of topics (in broad terms):

1. The productivity impact of big data tools to businesses

2. The cost impact of big data tools to businesses

3. How to measure the value of big data in businesses

4. The best practices of Big Data in businesses

5. Security with AWS Cloud computing

6. Big Data Integration in businesses

7. Data quality issues in Big Data

8. The combination of Blockchain and Big Data

9. How IS Big data Analytics impacting healthcare industry?

10. NoSQL data models and databases?

11. Block chain technology and cross-border payments.

12. Develop a Project to demo using DocumentDB with CRUD in a Application (java, or C#)

You must define important terms, state a position and justify your position. You may provide background and definitions to provide context for your position, but a substantial portion of your paper should be your own well-reasoned analysis of the topic. Do not simply repeat the thoughts of others!

This assignment is to be completed individually.

A printed copy must be provided. A softcopy must be sent through Safe Assign on BlackBoard. The two submissions should be the same. Submissions as email attachments will not be accepted. Your soft copy and hard copy are due at the beginning of class. If you plan to print your paper at CSC, allow plenty of time before class to do so. Others may be printing as well. The policy for late submissions is described in the syllabus and will apply to soft and hard copies submitted after the beginning of class.

For a limited period of time, you will be able to submit a draft version to Safe Assign to obtain feedback about plagiarism. After this period ends, you will have to submit the final version of the paper through Safe Assign.

Additional information

To find articles, you may look to trade resources such as

· ComputerWorld

· Dr. Dobb’s

· Information Week

· InfoWorld

More rigorous academic resources are available such as:

· ACM Digital Library

· AIS Electronic Library

· IEEE Xplore

You can access the ACM Digital Library and other databases through the JCK Library’s databases . Full articles are available in many cases.

You must include references from more rigorous sources.

Some search results will provide full-text downloads. Other will provide only the abstract and you may have to request the article through Interlibrary Loan . The latter may take a few days so do not wait to begin your research.

Resources:

The Library staff is available to aid with your research. You may visit the library or contact them through their Virtual Reference .

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Big Data Solution for Businesses Big Data Solution for Businesses

 
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