Volume, variety, and velocity were the initial characteristics associated with big data. More recently, veracity and value have been added to provide a more comprehensive description of this term. Architecting a big data solution is a complex task since it refers to data that cannot be computed or analyzed using traditional processes, platforms, or tools. With the skills gained in this second in a series of courses in the Data Engineering program, you will be able to provide recommendations to address edge computing requirements and contribute to the design of a data lakehouse. Explore data architecture concepts and technical considerations and recommendations required by data engineers to design and implement big data solutions.
It is recommended that you complete CCTB671 and have experience with computer programming (preferably Python coding), data architecture, data modeling, and databases before enrolling in this course.
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