Future application for analysis of big data

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Reference no: EM132213757

Topic: Big data in Google Maps

Objective:

Write a research paper describing a current or future application for analysis of big data.

The term big data refers to the vast amounts of data being generated from such sources as social media, real-world sensors (for weather, water quality, vehicle traffic, etc.), cellphone GPS signals, and customer transactions. The sheer volume of these data and new ways of managing and analyzing them are enabling applications in many fields that were not possible just a few years ago. Your paper will describe in detail one of these emerging applications of big data.

Possible topics for your paper include but are not limited to the following.
- Big data in e-commerce
- Big data in government
- Big data in healthcare
- Big data in retailing
- Big data in manufacturing
- Big data in social media
- Big data in location-based services

Your paper should address the following questions regarding your chosen topic.
- What are the current uses of big data in this field?
- What new uses of big data are likely in this field in the next 5 years?
- What are the main sources of big data used in this field?
- What analysis methods are used for big data in this field?
- What problems or issues are encountered in using big data in this field?
- What recommendations would you make for organizations interested in using big data in this field?

Guidelines
- Please include a title for your paper.
- Final Papers must be 8 to 10 pages in length (not including the cover page and table of contents but including the reference list); be in 12-point, Times New Roman font; be double spaced; and include a cover page, table of contents, introduction, body of the report, summary or conclusion, and references.
- Papers must follow APA format.

Verified Expert

This study has been helpful in unfolding the new application of Big Data in the Google Maps services and how this technology is influencing daily lives of the customers. With information sources and analysis, this study also unfolds various challenges with this technology along with future recommendations in this field. This study has portrayed sources and analysis methods of unstructured and Geo Marketing engineering procedure adopted by Google. With all these facts, it has been identified that technology is developing very fast and organizations are devoted to make them easy, effective, convenience and comforting for the business operations and consumers.

Reference no: EM132213757

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Reviews

len2213757

1/11/2019 10:50:29 PM

Hello I need this course project by the end of the semester for the topic of BIG DATA for Google Maps. Attached is the objectives, guidelines, etc. for the course project. I will need all the things mentioned in the guidelines and milestones. I have highlighted them in yellow, things like first draft, annotated bibliography, and final draft. Thank you.

len2213757

1/11/2019 10:49:37 PM

• First draft: Write a first draft of your Final Paper. The first draft should include all elements of the Final Paper (cover page, table of contents, introduction, body, conclusion, and references) and should be at least six pages in length (not including cover page and table of contents). The first draft should cover all the main points to be included in the Final Paper and should be free of typographical, grammar, spelling, and formatting errors, but it may omit some supporting examples and details that will be added in the Final Paper. Submit the first draft as a Word document. This is due at the end of Week 5. • Final Paper: The Final Paper must fully address all questions listed in the Objectives section, including examples and supporting details, conform to all requirements in the Guidelines section, and be free of typographical, grammar, spelling, and formatting errors.

len2213757

1/11/2019 10:49:32 PM

• Topic selection: Write a one-paragraph description of the topic you have selected for your paper. The topic may be one of those suggested in the Objectives section or another topic of your choosing related to an application of big data in a specific field. The professor may require that you change or refine your proposed topic. Submit your one-paragraph topic description as a Word document. This is due at the end of Week 1. • Annotated bibliography: Provide an annotated bibliography listing at least six authoritative, outside references suitable for use in your paper. Requirements for references given in the Guidelines section must be followed. References should be in APA format. Following each reference, write a brief one-paragraph summary of the content of the reference and how it relates to your topic. For any web page used as a reference, include the author’s expert qualifications in your summary. Submit your annotated bibliography as a Word document. This is due at the end of Week 3.

len2213757

1/11/2019 10:49:23 PM

• References are very important. At least six authoritative, outside references are required. Anonymous authors are not acceptable. Web sources, if used, must be authored by recognized experts in the field. At least three references must be peer-reviewed, scholarly papers. All should be listed on the last page, titled References. • Appropriate citations are required. • *Interim deliverables for this project are your topic selection in Week 1, annotated bibliography in Week 3, and first draft in Week 5. Final Papers are due during Week 7 of this course.* • Any questions about this paper may be discussed in the weekly Course Q & A Forum discussion topics. • This project is worth 150 total points, of which the Final Paper is worth 100 points. All deliverables will be graded on quality of research topic, quality of paper information, use of citations, grammar, and sentence structure.

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