[SOLVED] DAT 260 MODULE FIVE JOURNAL GUIDELINES AND RUBRIC

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.

RELATED: Operations are composed of many different processes to fulfill customer needs and requirements. The value chain is a higher-level view of those processes from a customer view. In order to meet customer requirements like quality and cycle time, organizations need to identify the value chain, subprocesses, and measures needed to meet the customer needs.

Academic Papers & Study Resources for College & Uni Students

Access academic papers, study guides, and course resources to support your coursework. A growing library built for college and university students.

Academic Papers & Study Resources for College & Uni StudentsDanny Green