El curso de Arquitecturas de Big Data busca que identifiques las características de una solución de Big Data, los datos asociados a estas soluciones, la infraestructura requerida, y las técnicas de procesamiento escalable. Desarrollaremos ejemplos usando infraestructuras basadas en Hadoop y en Spark, teniendo presente la pertinencia de las plataformas basadas en nube pública para soportar la escalabilidad de estas soluciones.
Arquitecturas de Big Data
Arquitecturas de Big Data
This course is part of Plataformas para procesar datos no tradicionales Specialization
Instructors: Claudia Lucía Jiménez-Guarín
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1,883 already enrolled
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Determinar la pertinencia de usar tecnologías de Big Data a un problema dado
Desarrollar proyectos sencillos de procesamiento escalable en Spark.
Conocer el rol de la computación en la nube como alternativa para procesar y almacenar Big Data, así como sus ventajas y riesgos
Identificar las características de una solución de Big Data, la infraestructura requerida, y las técnicas de procesamiento escalable.
Skills you'll gain
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
13 assignments
Taught in Spanish
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Plataformas para procesar datos no tradicionales Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 5 modules in this course
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