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Best Practices in Data Management

General

Prefix

IA

Course Number

658

Course Level

Graduate

Department/Unit(s)

Information Systems

College/School

Herberger Business School

Description

Best practices for managing and manipulating data for analytical purposes. Review and application of different file structures, using database and data-mart structures to optimize access and security. Data management in a Cloud Computing environment, and importing data into business intelligence tools.

Prerequisites

Credits

Min

3

Max

3

Repeatable

No

Goals and Diversity

MN Goal Course

No

Cultural Diversity

No

Learning Outcomes

Outcome

Apply the comprehensive model of information security.

Outcome

Evaluate a comprehensive data storage policy within a cloud.

Outcome

Devise a comprehensive security policy for a cloud.

Outcome

Evaluate data structures and apply to data conversion problems.

Outcome

Develop a layered data strategy and be able to identify files that have been tampered with.

Outcome

Tune the data store strategy to the underlying hardware layer.

Outcome

Analyze and apply the advantages of storing data in a database.

Outcome

Analyze and apply the advantages of storing data in a data-mart.

Outcome

Be able to transfer data into a variety of BI tools.

Outcome

Devise a contingency/disaster data recovery plan for a cloud.

Course Outline

Course Outline

Review of virtualization, data stores and cloud computing, Linux, reading hex dumps and connectivity concepts. 10% Principles of global services. Review of DNS, NFS, WWW(http) and LDAP. 10% Review of file structures. 10% Granting rights to file users and other security mechanisms. 10% Dealing with file tampering. 10% Optimizing files to the hardware layer. 10% Databases. 10% Exporting data to BI tools such as Excel and R. 10% Data management in the cloud. 10% The importance of data-marts. 10%

Dependencies

Programs

IA658 is a completion requirement for: