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A propos de la formation Big Data on Amazon Web Services (AWS)

This training is designed for individuals responsible for designing and implementing Big Data solutions, including solution architects, SysOps administrators, data science experts, and data analysts aiming to explore Big Data solutions on AWS.

Détails
Objectifs pédagogiques de la formation Big Data on Amazon Web Services (AWS)
  • Understand the applications of Apache Hadoop in the context of Amazon EMR
  • Grasp the architecture of an Amazon EMR cluster
  • Launch an Amazon EMR cluster using an Amazon Machine Image (AMI) and suitable Amazon EC2 instance types
  • Know the options for importing-transferring and compressing data for Amazon EMR
  • Select the most appropriate AWS data storage options for processing in Amazon EMR
  • Utilize common programming frameworks compatible with Amazon EMR-including Hive-Pig and Streaming
  • Use Amazon Redshift to deploy a Big Data solution.

Qui devrait suivre cette formation Big Data on Amazon Web Services (AWS) ?

Public visé par la formation Big Data on Amazon Web Services (AWS)

This training is designed for individuals responsible for designing and implementing Big Data solutions, including solution architects, SysOps administrators, data science experts, and data analysts looking to explore Big Data solutions on AWS.

Prérequis de la formation Big Data on Amazon Web Services (AWS)

It is recommended to have basic knowledge of Big Data technologies, including Apache Hadoop and HDFS. If possible, familiarity with Pig, Hive, and MapReduce is beneficial.

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Déroulé de la formation Big Data on Amazon Web Services (AWS)


Module 1: Introduction to Big Data Technologies and Amazon EMR

Explore Big Data technologies and Apache Hadoop.

Understand the benefits of using Amazon Elastic MapReduce (EMR).

Master the architecture of Amazon EMR.

Learn to use Amazon EMR.

Launch and utilize an Amazon EMR cluster.

Understand Hadoop programming frameworks.


Module 2: Advanced Usage of Amazon EMR and Data Processing

Use Hive for advertising data analysis.

Implement stream processing for life sciences data analysis.

Explore Spark and Shark for in-memory analysis.

Manage costs associated with Amazon EMR.

Understand security options for Amazon EMR.

Import, transfer, and compress data.

Manipulate Amazon Kinesis for real-time Big Data processing.


Module 3: Amazon EMR for Streaming and Advanced Data Processing

Use Amazon Kinesis and Amazon EMR for streaming and Big Data processing.

Explore various data storage options on AWS.

Utilize DynamoDB with Amazon EMR.

Understand Amazon Redshift and Big Data technologies.

Use Amazon Redshift for Big Data applications.

Learn data visualization and orchestration for Big Data.

Utilize Tableau Desktop or Jaspersoft BI for Big Data visualization.

 

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