Updating data during the life of a project

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Reference no: EM133675062

Data Acquisition and Management

Assessment - Unstructured Data Management

LO1: Evaluate ethical data acquisition and best practice about project initiation
LO2: Evaluate options for storing, accessing, distributing, and updating data during the life of a project.

Task:

Complete Part A and B below. Consider the rubric at the end of the assignment for guidance on structure and content.

Part A (Video Quiz): Students need to complete a video quiz where they answer questions relating to concepts and principles from Topics 1-4.
The video quiz will be available Monday 10:00am- Wednesday 5pm (AEST) Week 5.
Students will have to complete the quiz ON VIDEO using a zoom meeting (see instructions on MyKBS)
Once students start the quiz, they will have 30 minutes to complete it. They have to record their whole attempt over zoom.
All questions will ask them to explain their answer on video and half of the marks will be given for this.
No backtracking is allowed once a question is completed.
Students will receive feedback for the quiz by Friday of Week 6.
One of the questions will ask you about the industry and application you have chosen for your report (make sure you prepare for this).

PART B: Report

Unstructured data has typically been difficult to manage, since it has no predefined data model, is not always organised and may comprise multiple types. For example, data from thermostats, sensors, home electronic devices, cars, images, sounds and pdf files.

Given these characteristics, special collection, storage, and analysis methods, as well as software, have been created to take advantage of unstructured data.

Given the considerations above, select one of the following industries for your assessment.
Healthcare
Retail - clothing
Social Media
Education
Motor vehicles
Fast Foods
Read relevant articles on the industry you have chosen.
Choose one application from that industry.
Introduce the industry and application, e.g., healthcare and image reconstruction (100 words)
Explain what sort of unstructured data could be used by an AI or Machine Learning algorithm in the area you chose. (200 words)
Discuss best practice and options with illustrations (500 words):
Accessing/collecting,
Storing,
Sharing,
Documenting,

And maintenance of the data.
Propose a question that could be asked in relation to your unstructured data and what software might help you to run AI and answer the question. (100 words)
At least 10 Harvard style references (2 marks) and well-structured Report

Reference no: EM133675062

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