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Introducción al mundo Big Data, Hadoop, SpArk, Scala

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Page 1: Big Data, Hadoop, SpArk, Scala · b.Versiones"de"Apache"Spark c.Comparación"WordCount,"MapReduce" vsWordCountSpark d.ResilientDistributedDataSet(RDD) 4.Introduccióna’Scala a.¿QuéesScala?

Introducción al mundo

Big Data, Hadoop, SpArk, Scala

Page 2: Big Data, Hadoop, SpArk, Scala · b.Versiones"de"Apache"Spark c.Comparación"WordCount,"MapReduce" vsWordCountSpark d.ResilientDistributedDataSet(RDD) 4.Introduccióna’Scala a.¿QuéesScala?

Curso: Introducción al mundo BigData, Hadoop, Spark y Scala

Duración: 2 sesiones | 13 horas

¿Qué aprenderás?

Sesión I. Introducción a Big Data, Apache Hadoop y Scala¿De dónde surge? ¿Cómo se utiliza hoy en las empresas? ¿Qué valor puede aportar a la empresa? Uso básico de Apache Hadoop HDFS; introducción al lenguaje Scala para uso en Big Data; uso básico de Spark.

Sesión II. Corriendo Spark en modo cluster y uso de SQL en SparkEjercicios de aplicación utilizando el lenguaje de programación Scala.

Lugar: Hotel El Diplomático

Horario y fechas : Viernes 24 de abril de 2015 : 9:00 a 18:00 Comida buffet incluida Sábado 25 de abril de 2015 : 9:00-‐14:00

Precio: $5,000 pesos + I.V.A Incluye estacionamiento

Se entregará diploma de asistencia.

Conocimientos previos: No se requieren conocimientos de programación

Dirección: Av. Insurgentes Sur 1105, Benito Juárez, Noche Buena, 03720, México D.F.

Contacto: [email protected] [email protected]

@BigData_WG

Sitio: www.saxsa.com.mxfacebook.com/BigDataSaxsa

mailto:[email protected]

mailto:[email protected]

mailto:[email protected]

mailto:[email protected]

http://www.saxsa.com.mx

http://www.saxsa.com.mx

Page 3: Big Data, Hadoop, SpArk, Scala · b.Versiones"de"Apache"Spark c.Comparación"WordCount,"MapReduce" vsWordCountSpark d.ResilientDistributedDataSet(RDD) 4.Introduccióna’Scala a.¿QuéesScala?

VIERNES 24 DE ABRIL 9:00-‐18:00

BIENVENIDA

1.Introducción a Big Dataa.Problemas con sistemas grandes volúmenes de información

2.Introducción a Apache Hadoopa.¿Qué es Hadoop?b.Comandos básicosc.Cambiar tamaño bloque y factor de replicación en Hadoop

COMIDA BUFFET

3.Introducción a Apache Sparka.¿Qué es Apache Spark? b.Versiones de Apache Sparkc.Comparación WordCount, MapReduce vs WordCount Sparkd.Resilient Distributed DataSet (RDD)

4.Introducción a Scalaa.¿Qué es Scala? b.Uso del Shell de Spark con el lenguaje Scala

i.Programación de un “Hola mundo” en una clase Scalaii.Creación de un RDDiii.Operaciones llave-‐valor con RDD’s (CoGroup)

c.Programación funcional con Sparki.Spark Confii.Spark Context

PLAN DE ACTIVIDADESSÁBADO 25 DE ABRIL 9:00-‐14:00

1.Corriendo Spark en modo clustera.Conpiguración del Driver y Workersb.Conpiguración de recursos

i.CORESii.RAMiii.Hilos

c.Monitoreo de procesos de navegador Web

2.SQL en Sparka.Introducción a SQLb.SchemaRDDc.Consultas SQL

CONCLUSIONES Y ENTREGA DE DIPLOMAS

Contacto: [email protected] [email protected]

mailto:[email protected]

mailto:[email protected]

mailto:[email protected]

mailto:[email protected]

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