Acerca de este curso: In the final capstone project you will apply the skills you learned by building a large data-intensive application using real-world data. You will implement a complete application processing several gigabytes of data. This application will show interactive visualizations of the evolution of temperatures over time all over the world. The development of such an application will involve: — transforming data provided by weather stations into meaningful information like, for instance, the average temperature of each point of the globe over the last ten years ; — then, making images from this information by using spatial and linear interpolation techniques ; — finally, implementing how the user interface will react to users’ actions.
Enseñado por: Dr. Julien Richard-Foy, Computer Scientist
Scala Center
| Información básica | Curso 5 de 5 en Functional Programming in Scala Specialization |
| Compromiso | 6 weeks, 4-5 hours/week |
| Idioma | English |
| Cómo aprobar | Aprueba todas las tareas calificadas para completar el curso. |
| Calificaciones del usuario |
- Ungraded Programming: Scaffolding material
- Vídeo: Project setup
- Reading: Data extraction
- Reading: Raw data visualization
- Reading: Milestone: interactive visualization in a Web app
- Reading: Data manipulation
- Reading: Value-added information visualization
- Reading: Interactive user interface
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| Comprar curso | |
|---|---|
| Accede a los materiales del curso | Disponible |
| Accede a los materiales con calificación | Disponible |
| Recibe una calificación final | Disponible |
| Obtén un Certificado de curso para compartir | Disponible |
Good Spark / Big Data project.
Provides a good example of real problem project focussed on Spark and big data analysis.
I really enjoyed this course - it goes from the very basics of Spark and tests your ability regarding Scala knowledge.
The capstone project is really well structured, but at times it felt like the instructors could give more information concerning some definitions around the project, i.e. how all of the case classes from the models file interconnect or relate to each other. By the end of the project it would be helpful explaining how the Layer class was actually structured as well.
In reality my opinion of this course is 4.5 out of 5 - I think the instructors made an admirable job trying to convey most of specialization concepts into the capstone, so congratulations :-). If not for some of the aspects above, I would rate it 5/5.
Awesome project!. It is not only wrapping all the previous concepts in a real use case, but also introducing a lot of different algorithms! Calculate deviations, spatial interpolation, great-circle distance, inverse distance weighting, etc.
RP
For a lot of sections one couldn't really use Spark, said sections were restricted to translating Spark datastructures to Scala collections and working with those.