Eduteam Srl

Big Data on AWS

Eduteam Srl
A Milano

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Informazioni importanti

Tipologia Corso
Luogo Milano
Ore di lezione 24h
Durata 3 Giorni
Inizio Scegli data
  • Corso
  • Milano
  • 24h
  • Durata:
    3 Giorni
  • Inizio:
    Scegli data
Descrizione

This course teaches you how to:

Fit AWS solutions inside of a big data ecosystem
Leverage Apache Hadoop in the context of Amazon EMR\Identify the components of an Amazon EMR cluster
Launch and configure an Amazon EMR cluster
Leverage common programming frameworks available for Amazon EMR including Hive, Pig, and Streaming
Leverage Hue to improve the ease-of-use of Amazon EMR
Use in-memory analytics with Spark and Spark SQL on Amazon EMR
Choose appropriate AWS data storage options
Identify the benefits of using Amazon Kinesis for near real-time big data processing
Define data warehousing and columnar database concepts
Leverage Amazon Redshift to efficiently store and analyze data
Comprehend and manage costs and security for Amazon EMR and Amazon Redshift deployments
Identify options for ingesting, transferring, and compressing data
Use visualization software to depict data and queries
Orchestrate big data workflows using AWS Data Pipeline

Strutture (1)
Dove e quando
Inizio Luogo
Scegli data
Milano
VIA BOLAMA 15, 20126, Milano, Italia
Visualizza mappa
Inizio Scegli data
Luogo
Milano
VIA BOLAMA 15, 20126, Milano, Italia
Visualizza mappa

Domande e risposte

Comunicaci i tuoi dubbi,altri utenti potranno risponderti

Cosa impari in questo corso?

SQL
Apache
Pipeline
EMR
EMR cluster
AWS
Streaming
Security
Big Data
Amazon redshift

Professori

eduteam EDUTEAM
eduteam EDUTEAM
DOCENTE

Programma

This course teaches you how to:

  • Fit AWS solutions inside of a big data ecosystem
  • Leverage Apache Hadoop in the context of Amazon EMR\Identify the components of an Amazon EMR cluster
  • Launch and configure an Amazon EMR cluster
  • Leverage common programming frameworks available for Amazon EMR including Hive, Pig, and Streaming
  • Leverage Hue to improve the ease-of-use of Amazon EMR
  • Use in-memory analytics with Spark and Spark SQL on Amazon EMR
  • Choose appropriate AWS data storage options
  • Identify the benefits of using Amazon Kinesis for near real-time big data processing
  • Define data warehousing and columnar database concepts
  • Leverage Amazon Redshift to efficiently store and analyze data
  • Comprehend and manage costs and security for Amazon EMR and Amazon Redshift deployments
  • Identify options for ingesting, transferring, and compressing data
  • Use visualization software to depict data and queries
  • Orchestrate big data workflows using AWS Data Pipeline