Big Data on AWS (BDAWS)

Gki Srl
A Milano e Roma

Chiedi il prezzo
Vuoi parlare del corso con un consulente?
Confronta questo corso con altri simili
Leggi tutto

Informazione importanti

Descrizione

By the end of this course, you should be able to:
Understand Apache Hadoop in the context of Amazon EMR
Understand the architecture of an Amazon EMR cluster
Launch an Amazon EMR cluster using an appropriate Amazon Machine Image and Amazon EC2 instance types
Choose appropriate AWS data storage options for use with Amazon EMR
Know your options for ingesting, transferring, and compressing data for use with Amazon EMR
Use common programming frameworks available for Amazon EMR including Hive, Pig, and Streaming
Work with Amazon Redshift to implement a big data solution
Leverage big data visualization software
Choose appropriate security options for Amazon EMR and your data
Perform in-memory data analysis with Spark and Shark on Amazon EMR
Choose appropriate options to manage your Amazon EMR environment cost-effectively
Understand the benefits of using Amazon Kinesis for big data

Ci specializziamo nella progettazione di soluzioni IT redditizie e nell'implementazione di concetti.I risultati dei nostri impegni nella consulenza sono tangibili e misurabili, in quanto aiutiamo a mettere in sicurezza e migliorare il successo dei nostri clienti.

Informazione importanti
Sedi

Dove e quando

Inizio Luogo
Settembre
Milano
Via Frigia 27, 20126, Milano, Italia
Visualizza mappa
Consultare
Roma
Via Paolo Di Dono, 73, 00142, Roma, Italia
Visualizza mappa

Programma

Chi dovrebbe partecipare
  • Individuals responsible for designing and implementing big data solutions, namely Solutions Architects and SysOps Administrators
  • Data Scientists and Data Analysts interested in learning about big data solutions on AWS
Prerequisiti
  • Basic familiarity with big data technologies, including Apache Hadoop and HDFS
  • Working knowledge of core AWS services and public cloud implementation
  • Basic understanding of data warehousing, relational database systems, and database design
Obiettivi del Corso

By the end of this course, you should be able to:

  • Understand Apache Hadoop in the context of Amazon EMR
  • Understand the architecture of an Amazon EMR cluster
  • Launch an Amazon EMR cluster using an appropriate Amazon Machine Image and Amazon EC2 instance types
  • Choose appropriate AWS data storage options for use with Amazon EMR
  • Know your options for ingesting, transferring, and compressing data for use with Amazon EMR
  • Use common programming frameworks available for Amazon EMR including Hive, Pig, and Streaming
  • Work with Amazon Redshift to implement a big data solution
  • Leverage big data visualization software
  • Choose appropriate security options for Amazon EMR and your data
  • Perform in-memory data analysis with Spark and Shark on Amazon EMR
  • Choose appropriate options to manage your Amazon EMR environment cost-effectively
  • Understand the benefits of using Amazon Kinesis for big data
Contenuti del Corso

Big Data on AWS introduces you to cloud-based big data solutions and Amazon Elastic MapReduce (EMR), the AWS big data platform. In this course, we show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Pig and Hive. We also teach you how to create big data environments, work with Amazon DynamoDB and Amazon Redshift, understand the benefits of Amazon Kinesis, and leverage best practices to design big data environments for security and cost-effectiveness.

Currently no training dates

Oggi gli architetti IT, i decision maker e i network managers si trovano ad affrontare una sempre più crescente varietà di nuove tecnologie, soluzioni e prodotti per l'informazione e le infrastrutture di comunicazione. Sviluppiamo soluzioni enterprise personalizzate ed economicamente efficaci che sfruttano al massimo il potenziale delle nuove tecnologie. Tutte le nostre soluzioni sono focalizzate su standard internazionali.


Confronta questo corso con altri simili
Leggi tutto