Continuing Education

CCTB671 - Engineering Data Solutions

Course Code

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Campus

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Course Overview

Moving your enterprise data platform from an on-prem to a cloud-hosted environment? Ready to design and implement new data solutions using the latest cloud and big data technologies? In this first in a series of courses in the Data Engineering program, you will expand your understanding of both data engineering as a practice and the role of data engineers who play a role that goes well beyond creating and maintaining data pipelines. Data engineers transform not only data but also the way organizations think about, work with, and create business value from data. With the skills you gain in this course, you will be able to participate in the planning and selection of cloud computing services and prepare for the designing and implementing of data engineering solutions.

It is recommended that you have experience with computer programming (preferably Python coding), data architecture, data modeling, and databases.

Upcoming Offerings

This course is part of these programs or course groups:

Business Intelligence & Data Engineering

Data Engineer Certificate


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Delivery Methods

  • Face to Face: Where: In-person meetings. When: Course is scheduled at a specific time for students to attend. Face-to-face instruction at all class meetings. Location may be on campus or at a worksite.
  • Blended: Where: Mixture of in-person & online components. When: Course is scheduled at a specific time for students to attend. Combination of face-to-face and online components at specific times. Some online components may be accessed online anytime.
  • Hyflex: Where: Choice to attend in-person or online meetings. When: Course is scheduled at a specific time for students to attend. For each class, students choose to attend in-person with the instructor or online at a specific time.
  • Remote Live Delivery: Where: Online with instructor. When: Course is scheduled at a specific time for students to attend. Instruction is delivered at set times online. Students do not come to campus.
  • Remote On-Demand Delivery: Where: Online anytime. When: No set class meetings. Coursework is accessed on-demand and online. While there are no set class meetings, there may be set due dates and deadlines for some activities. Students may interact with peers through virtual tools.
  • Remote Independent: Where: Online anytime. When: No set class meetings. Coursework is accessed on-demand and online, with no instructor support. While students choose when to do coursework, there may be set due dates and deadlines. 
  • Work Placement: Where: In-person meetings. When: Work is scheduled at a specific time for students to attend. Onsite work integrated learning. Location at a worksite.
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