Abstract
The set of technologies related to the Big Data environment is broad and continues to grow; undergraduate students interested in venturing into learning this type of technology are, in the first instance, overwhelmed because the learning curve is extensive; The objective of the project is to reduce this curve; For which a massive data processing environment has been designed and generated, accompanied by notes with fundamental concepts of Big Data, workshops and theoretical-practical courses, all supervised by academics from FES ARAGÓN. This document shares the experience gained in one year of its application and the various products that are detailed in the extensive. The methodology to meet the objective consisted of the following phases: Documentary research, content design and development, creation and configuration of the environment for Big Data tools, environmental operation tests, generation of teaching material, teaching of courses and workshops. and publication of the materials in a MOOC. The contribution proposed in this article is to socialize the experience obtained from the teaching support and innovation project, in order for other academic centers to take it up, replicate or improve it.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
