Reflection on Big Data and AI

DAT 260 Module Five Journal Guidelines and Rubric

Overview

In this journal assignment, you will reflect on key concepts covered in this module. This assignment directly supports your work in Project Two, which is due in Module Seven.

Directions

In a well-crafted journal entry, address the following:

1. Discuss why  big data-specific tools are necessary for big data analytics.

A. Give examples of 2–3 tools that might be used in analyzing big data and why they are necessary.

B. Explain how big data tools work with common data-handling tools.

2. Identify the purpose of  non-relational databases for big data and how they coexist with relational databases.

A. Explain how the diversity of IoT data can influence your choice of tools.

3. Explain how  machine learning differs from AI.

A. Explain how machine learning will improve the utility of consumer devices.

B. Explain how AI expands the capabilities of consumer devices.

4. Reflect on your interactions with big data and AI.

A. How do these concepts connect to your interests, concerns, or future aspirations?

What to Submit

This assignment must be 1 to 2 pages long, using one-inch margins, double spacing, and 12-point Times New Roman font. All references must be cited in  APA format.

Readings/Resources

https://aws.amazon.com/compare/the-difference-between-artificial-intelligence-and-machine-learning/

I attached two other sources EBSCO and IEEE Xplore