Catalog Course Search Details

 Department:    IMDS

 Course #:    215

 Credits:    5

 Variable:     No

 IUs:    5

 CIP:    30.7101

 EPC:    573

 REV:    2021

 Course Description  

An introduction to designing, building, and securing big data solutions, including exploring data analytics solutions to get deeper insight into addressing business scenarios.

 Prerequisite  

Prerequisite: IMDS 105, IMDS 110, and IMDS 130 with a C or higher.

Contact Hours (based on 11 week quarter)

Lecture: 55

Lab: 0

Other: 0

Systems: 0

Clinical: 0

Intent: Distribution Requirement(s) Status:  

Vocational Preparatory Required for ATA degree  

Equivalencies At Other Institutions

Learning Outcomes

After completing this course, the student will be able to:

1. Identify data and data files.
2. Recognize relational databases and structured data.
3. Identify multi-model global-scale databases.
4. Recognize big data processing and data analytics.
5. Describe cloud computing services, data storage and data lakes.
6. Employ cloud computing related to big data.

General Education Learning Values & Outcomes

Revised August 2008 and affects outlines for 2008 year 1 and later.

Course Contents

1. Introduction to big data and business scenarios they can solve.
2. Introduction to relational databases and structured data.
3. Introduction to multi-model global-scale databases to replicate data.
4. Introduction to data storage and data lakes.
5. Introduction to big data processing and data analytics.