Instalar Hadoop Paso a Paso
4.5 (18 ratings)
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Instalar Hadoop Paso a Paso

Instalando Hadoop en tu máquina de manera sencilla. Todos los pasos explicados, documentación y enlaces necesarios
4.5 (18 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
800 students enrolled
Created by Jorge Ubero
Last updated 6/2015
Spanish
Current price: $10 Original price: $50 Discount: 80% off
1 day left at this price!
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Includes:
  • 1 hour on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • trabajar con Hadoop instalado sin ningún error desde sus máquinas
  • Instalar Hadoop en modo Single Node y Pseudo Distribuido
View Curriculum
Requirements
  • Conociemientos en los comandos Shell de Linux son deseables, aunque todo está explicado desde lo básico
  • Instalar máquina virtual (Oracle VirtualBox)
  • Instalar Ubuntu
  • Instalar componentes de Java (JDE y JRE)
  • Instalar Hadoop 1.2.1
Description

Esta es la primera guía 100% en español para realizar la instalación completa de Hadoop en una máquina convencional, como puede ser tu ordenador

Vamos a explicarte con todo detalle cómo instalar Hadoop en tu máquina de manera sencilla. Todos los pasos explicados, documentación y enlaces necesarios

Hadoop se trata de un framework que resulta vital, en el entorno Big Data. Sin embargo, su instalación resulta verdaderamente complicada.

En curso vamos a guiarte en paso a paso con todo detalle, ayudandonos con un documento que nos servirá de guía y tú puedes descargar.

Te interesa entrar en el mundo big data y tienes problemas para instalar Hadoop y empezar a manejarlo?? Este es tu curso, Bienvenido!!

Who is the target audience?
  • Personas interesadas en iniciarse en Big Data
  • Programadores
  • Gestores de bases de datos
  • Analistas de datos
  • Estadísticos
  • Matemáticos
  • Analistas BI
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Curriculum For This Course
Expand All 9 Lectures Collapse All 9 Lectures 01:02:36
+
Presentación curso
1 Lecture 00:37
+
Instalando la Máquina Virtual
4 Lectures 17:36
+
Descarga de Hadoop y componentes necesarios
1 Lecture 08:58
Descarga de Hadoop y componentes necesarios
08:58
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Hadoop en Single Node
1 Lecture 13:54
Configurando Java. Hadoop en modo Single Node
13:54
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Hadoop en modo Pseudo Distribuido
2 Lectures 21:31
Hadoop Pseudo Distribuido I
14:42

Hadoop Pseudo Distribuido II
06:49
About the Instructor
Jorge Ubero
3.7 Average rating
65 Reviews
1,970 Students
3 Courses
Fundador de SoyData

-Independent professional with expertise on geomatics and big data. Data analytics, seminars, courses (off and online), posts, podcasts and case studies related with massive data (Madrid, Spain)

-E-Learning professor in Big Data, online Payments and e-Commerce subjects. Master online in Management of Information Systems. IMF Business School 2012-2013(Madrid, Spain).

·Consultant. Working with Rubin Worldwide ltd. in a project leaded by Gartner ltd. about a benchmarking of Spanish banks (CECA Efficiency Study). 2013 (Madrid, Spain)

·From January 2010 to December 2013. Geospatial IT Analyst in Oceana Europe (Central office in Madrid, Spain). Supervisor of procedures and coordinator of small working teams across all European offices. Digital cartography, spatial analysis and database management

·September 2010 to January 2011. GIS freelance consultant. Asociación para el Desarrollo Integral El Záncara (Castilla-La Mancha, Spain). Web map application development with PHP, Google Maps API, javascript and kml.

·July 2008 to January 2010. GIS technician. Arcea S.L. Vigo (Pontevedra, Spain).

·From October 2007 to January 2008. Research and Teacher. University of Barcelona. Consolidated Research Group Marine Geosciences.

·From May to September 2007. Indra Espacio S.A. San Fernando de Henares (Madrid). GIS and Remote Sensing Technician. SIOSE Project (Occupation Information System Soil of Spain) and GSELand GMES (Global Monitoring Environment & Security).

·From October 2005 to October 2006. University of Cadiz, Faculty of Enterprise and Economic Studies. Economy researcher in the project FEDER (INTERREG III-B) "OCIPESCA". Social & Economic study on local fishermen and their families.

Academic background

  • Master Exec. in Management of Information Systems. IE Business School. Madrid. 2012.
  • IE Venture Lab startup competition. IE Business School. Madrid 2012. Semifinalist with the project 'Big Data 4 Success'.
  • MSc in Cartography, GIS and Remote Sensing. University of Alcalá. Madrid. Madrid. 2007.
  • Degree in Marine Sciences. University of Cádiz. Cádiz. 2004.