The case of Crabby Bill’s
The case of Crabby Bill’s
Book Report/Review, Computer sciences and Information technology
The case of Crabby Bill’s
Project description
The Final Project
is in two parts, Part 1, a 2 page analytical paper, and Part 2, a 3 Page executive
summary. See below for full details.
First, you will examine the problems and opportunities presented by “Big Data” from the perspective of a small
business. You will look
at the case of “Crabby Bills” to understand the complexities faced by a smaller business
when working with diverse data.
In the second part of the Final Project, you will examine a white paper from Oracle (listed in the Web readings
for this unit. You wil
l provide an executive briefing / summary of the Oracle paper.
Exceptional performance
for this assignment will include your
demonstrated ability
to incorporate many of
the concepts covered in this course, as
inputs into your analysis
for the following Case and White Paper.
Part 1
For this Final Project you will examine a business case in order to analyze the factors that may be important
when thinking about the implications of “Big Data” in an organization. Include, at a minimum, the 3 main
topics/questions as outlined below. Any o
ther observations and/or insight based upon how the case relates to
Relational Databases, Data Warehouses, Data Administration, or other topics presented in this unit are more
than welcome.
Write a 2 page Case analysis paper using the following topics /
questions to help guide your work.
5.1 The case of
–
Crabby Bill’s
Please look at the Case (5.1) in Chapter 5 in
Introduction to Information Systems: Enabling and
Transforming Business.
1.
A summation of the key points raised in the case.
2.
Why did Crabby
Bill’s develop multiple databases for their data? Are there any advantages in this
approach? Support your answer.
3.
What are some disadvantages of the multiple database approach (other than the disadvantages
mentioned in this case)?
Final Project
Grading Rubric
Course: IT
234
Unit:
10
Points:
120
Copyright Kaplan University
4.
Is the technology mention
ed in the case
–
“File MakerPro” a relational database (If you need to, do
some Internet research on the name)?
5.
Is Crabby Bill’s only managing structured data? Explain.
6.
How was the data in separate databases (probably access and spreadsheets) integrated i
nto File
Maker?
Part 2
Managing structured data is challenging and critically important for any organization, but adding unstructured
data to the mix can seem overwhelming.
To get you started, make sure you have read the Oracle white paper from this
week’s Web readings. Then,
undertake other targeted Web research
(Search Big Data).
You need to give the president of your company an executive overview of the rationale, purposes, and benefits
of making the use of “Big Data” a priority for the organization. Provide specific details of the benefits and the
challenges that the corporation
might experience when moving to a “Big Data” orientation.
Provide a 3 page executive briefing / summary document covering the key points in the main document.
Your job is to motivate the executive(s) to read the main document.
–
If by chance you are uns
ure of how to structure the document or what to include in an executive
briefing/summary, it will be a great idea to search the key terms (executive briefing/summary)
and read a bit on how to do it well.
It is up to you to determine exactly how to struct
ure your summary and what to include, but it may be a good
idea to cover most of the main points in the document.
Use language that makes it easy for the non
–
IT executive to understand.
1.
What Makes Big Data Different?
2.
What are the capabilities necessar
y for a Big Data Implementation?
Follow the links in this section of the main document (or search the terms) to get a better overview of some of
the key technologies that provide these capabilities:
Hadoop
Cloudera
NoSql
MapReduce]
a.
Discuss Storage and
Management, Database Capability, Processing Capability Data Integration
Capability, and Statistical Analysis Capability.
3.
Big Data Architecture
a.
Traditional Information Architecture Capabilities
b.
Adding Big Data Capabilities
Final Project
Grading Rubric
Course: IT
234
Unit:
10
Points:
120
Copyright Kaplan University
c.
An Integrated Information Architecture
d.
Making Big Data Architecture Decisions
4.
Key Drivers to Consider
5.
Big Data Best Practices
a.
Align Big Data with Specific Business Goals
b.
Ease Skills Shortage with Standards and Governance
c.
Optimize Knowledge Transfer
with a Center of Excellence
d.
Top Payoff is Aligning Unstructured with Structured Data
e.
Plan Your Sandbox For Performance
f.
Align with the Cloud Operating Model
Formatting parameters/expectations:
At least 3 full pages in length not counting the title p
age include a title page, double space, font size 12.
Arial, Courier, and Times New Roman are generally acceptable.
Includes a highly developed viewpoint, purpose and exceptional content.
Demonstrates superior organization, is well ordered, logical and unified
Ensure you have an introduction, body, and conclusion.
Free of grammar and spelling errors.
No evidence of plagiarism and quoted material makes up any more than 10% of the final con
tent.
Writing should be original. Well
–
paraphrased material that is cited in text and on your References page
is acceptable.
Use the APA style for all citations.
Include a minimum of two references in your paper; references may be from the text books for
the
course.
Directions for Submitting Your Assignment:
Compose your complete Final Project in a Microsoft Word document and save it as IT 234
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