Scalable "big data" systems are significant long-term investments that must scale to handle ever-increasing data volumes, and therefore represent high-risk applications in which the software and data architecture are fundamental components of ensuring success. This online course is presented to you by the Software Engineering Institute's research scientists Ian Gorton and John Klein. Through the use of video instruction, exercises, and knowledge checks, the course focuses on the relationships among big data application software, data models, and deployment architectures and how specific technology selection relates to all of these.
The course contains six hours of video instruction, self-assessment quizzes, and exercises. A copy of the course slides are available to download.
This course is also offered as instructor-led training.
At the completion of the course, learners will understand:
This course has no prerequisites.
To access the SEI Learning Portal, your computer must have the following:
This course is taught by SEI research scientists Ian Gorton and John Klein by means of recorded video lectures. Following each lecture is a self-assessment or exercise to assist your comprehension of the concepts presented. Learners will also be able to access additional resources related to the subject matter, including a downloadable copy of the course presentation slides.
Learners will have 90 days to complete the course. Upon completing all course elements, the learner is awarded an electronic certificate of course completion.
Training courses provided by the SEI are not academic courses for academic credit toward a degree. Any certificates provided are evidence of the completion of the courses and are not official academic credentials.
This self-paced course is available online. The course comprises instruction, scenarios that explore how the concepts are applied, and self-assessment.
This course may be offered by special arrangement at customer sites.