Big data tools and emerging technologies | Computer Science homework help

DAT260ProjectTwoTemplate.docx

4

[ Note: To complete this template, replace the bracketed text with your own content. Remove this note before you submit your project.]

Big Data Tools and Emerging Technologies Paper

[Your Name]

DAT 260: Emerging Technologies and Big Data

[Your Instructor’s Name]

[Date—for example, May 1, 2021]

1

What to Submit

To complete this project, you must submit the following:

Big Data Tools and Emerging Technologies Paper

Use the Project Two Template to submit your analysis and proposed recommendations. Replace the bracketed text in each section with your responses. Each section should be 1 to 2 paragraphs long, for 3 to 4 pages. All sources should be cited according to APA style.

Resources to use:

https://www.nature.com/articles/s41599-023-02154-3

https://www.ted.com/talks/sylvain_duranton_how_humans_and_ai_can_work_together_to_create_better_businesses

Big Data Tools

[Discuss why big data-specific tools are necessary for big data analytics. Give examples of 2–3 tools that might be used in analyzing big data and why they are necessary. Explain how big data tools work together with common data handling tools. Reflect on your experience working with Spark in your Module Five uCertify lab assignments. Explain how tasks such as performing DataFrame operations, reading large data sets, and parsing out text are accomplished using these technologies. Discuss the types of analysis that can be conducted using big data, including how each tool can be used to make informed decisions and move toward predictive analysis.]

Relational vs. Non-relational Databases

[Identify the purpose of non-relational databases for big data and how they coexist with relational databases. Explain how the diversity of IoT data can influence your choice of tools.]

Effects of IoT

[Describe how the pervasive nature of the internet of things (IoT) can affect businesses and consumers. Describe a scenario in which IoT improves the consumer’s experience. Describe a scenario in which IoT can improve an organization's ability to use information to benefit its customers.]

Machine Learning and AI

[Explain how machine learning differs from AI. Explain how machine learning can improve the utility of consumer devices. Explain how AI expands the capabilities of consumer devices.]

Impacts of AI

[Discuss the impacts of AI on society, including cybersecurity considerations. Discuss the security considerations of collecting data for use with AI. Discuss the anonymization of data and how and when it might be appropriate.]

AI and Business Strategies

[Explain how AI is used in the workplace to affect business strategies, providing examples to support your claims. Explain how AI could be used to facilitate interaction with customers.]

References

[Include any references cited in your paper in full APA format. Don’t forget to include in-text citations as well.]

DAT260ProjectTwoTemplate.docx

4

[ Note: To complete this template, replace the bracketed text with your own content. Remove this note before you submit your project.]

Big Data Tools and Emerging Technologies Paper

[Your Name]

DAT 260: Emerging Technologies and Big Data

[Your Instructor’s Name]

[Date—for example, May 1, 2021]

1

What to Submit

To complete this project, you must submit the following:

Big Data Tools and Emerging Technologies Paper

Use the Project Two Template to submit your analysis and proposed recommendations. Replace the bracketed text in each section with your responses. Each section should be 1 to 2 paragraphs long, for 3 to 4 pages. All sources should be cited according to APA style.

Resources to use:

https://www.nature.com/articles/s41599-023-02154-3

https://www.ted.com/talks/sylvain_duranton_how_humans_and_ai_can_work_together_to_create_better_businesses

Big Data Tools

[Discuss why big data-specific tools are necessary for big data analytics. Give examples of 2–3 tools that might be used in analyzing big data and why they are necessary. Explain how big data tools work together with common data handling tools. Reflect on your experience working with Spark in your Module Five uCertify lab assignments. Explain how tasks such as performing DataFrame operations, reading large data sets, and parsing out text are accomplished using these technologies. Discuss the types of analysis that can be conducted using big data, including how each tool can be used to make informed decisions and move toward predictive analysis.]

Relational vs. Non-relational Databases

[Identify the purpose of non-relational databases for big data and how they coexist with relational databases. Explain how the diversity of IoT data can influence your choice of tools.]

Effects of IoT

[Describe how the pervasive nature of the internet of things (IoT) can affect businesses and consumers. Describe a scenario in which IoT improves the consumer’s experience. Describe a scenario in which IoT can improve an organization's ability to use information to benefit its customers.]

Machine Learning and AI

[Explain how machine learning differs from AI. Explain how machine learning can improve the utility of consumer devices. Explain how AI expands the capabilities of consumer devices.]

Impacts of AI

[Discuss the impacts of AI on society, including cybersecurity considerations. Discuss the security considerations of collecting data for use with AI. Discuss the anonymization of data and how and when it might be appropriate.]

AI and Business Strategies

[Explain how AI is used in the workplace to affect business strategies, providing examples to support your claims. Explain how AI could be used to facilitate interaction with customers.]

References

[Include any references cited in your paper in full APA format. Don’t forget to include in-text citations as well.]