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Universidad de los Andes
Plataformas para procesar datos no tradicionales鈥 Specialization

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Universidad de los Andes

Plataformas para procesar datos no tradicionales鈥 Specialization

Descubre c贸mo procesar datos no tradicionales. Conoce c贸mo utilizar plataformas de procesamiento datos no tradicionales (datos semiestructurados, no estructurados y georreferenciados) y c贸mo modelar soluciones sobre ellas.

Christian Fernando Ariza Porras
Harold Enrique Castro Barrera
Claudia Luc铆a Jim茅nez-Guar铆n

Instructors: Christian Fernando Ariza Porras

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3.9

(7 reviews)

Beginner level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
3.9

(7 reviews)

Beginner level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Desarrollar aplicaciones sencillas de procesamiento escalable en鈥疭park.

  • Identificar los criterios para la selecci贸n y uso de repositorios NoSQL, teniendo presente las necesidades de la aplicaci贸n

  • Conocer y realizar operaciones b谩sicas de an谩lisis espacial, mediante el an谩lisis de casos espec铆ficos y uso de cubo de datos.

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Taught in Spanish

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Specialization - 3 course series

Arquitecturas de Big Data

Arquitecturas de Big Data

Course 115 hours

What you'll learn

  • Determinar la pertinencia de usar tecnolog铆as de Big Data a un problema dado

  • Desarrollar proyectos sencillos de procesamiento escalable en鈥疭park.鈥

  • Conocer el rol de la computaci贸n en la nube como alternativa para procesar y almacenar Big Data, as铆 como sus ventajas y riesgos

  • Identificar las caracter铆sticas de una soluci贸n de Big Data,鈥痩a infraestructura requerida, y las t茅cnicas de procesamiento escalable.鈥

Skills you'll gain

Category: Big Data
Category: Apache Spark
Category: Apache Hadoop
Category: Data Processing
Category: Cloud Computing
Category: NoSQL
Category: Data Storage
Category: File Systems
Category: Scalability
Category: Public Cloud
Category: Distributed Computing
Category: Data Architecture
Category: Database Systems

What you'll learn

  • Identificar consideraciones fundamentales para la implementaci贸n de una soluci贸n basada en informaci贸n usando tecnolog铆as NoSQL.

  • Identificar criterios de selecci贸n y configuraci贸n de herramientas dadas las necesidades diversidad de aproximaciones al modelaje de informaci贸n

Skills you'll gain

Category: NoSQL
Category: Data Modeling
Category: Unstructured Data
Category: Scalability
Category: Graph Theory
Category: Distributed Computing
Category: Databases
Category: Big Data
Category: MongoDB
Category: Data Storage Technologies
Category: Relational Databases
Category: Data Processing

What you'll learn

  • Conocer c贸mo鈥痚s la informaci贸n geogr谩fica, su marco de referencia, c贸mo se鈥痬odela鈥痽 c贸mo se transforma鈥痷na鈥痚ntidad geogr谩fica

  • Conocer y realizar operaciones b谩sicas de an谩lisis espacial, con ejemplos sencillos鈥

  • Comprender y realizar un ejercicio de an谩lisis geogr谩fico basado en un Caso de estudio (distribuci贸n de la enfermedad de鈥疌hagas鈥痚n Colombia)

  • Utilizar un cubo de datos para鈥痑nalizar鈥痠nformaci贸n espacio temporal proveniente de sensores remotos.鈥

Skills you'll gain

Category: Geographic Information Systems
Category: Spatial Data Analysis
Category: Spatial Analysis
Category: Software Installation
Category: Jupyter
Category: Geospatial Mapping
Category: Image Analysis
Category: Environmental Monitoring

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Instructors

Christian Fernando Ariza Porras
Universidad de los Andes
2 Courses1,893 learners

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