Overview:

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, Amazon Redshift, and Amazon Kinesis, and leverage best practices to design big data environments for security and cost-effectiveness.

Objectives:

This course is designed to teach you how 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 solutionc
  • 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

Content:

This course will cover the following concepts on each day

Day 1

  • Overview of Big Data, Apache Hadoop, and the Benefits of Amazon EMR
  • Amazon EMR Architecturec
  • Using Amazon EMR
  • Launching and Using an Amazon EMR Cluster
  • Hadoop Programming Frameworks

Day 2

  • Using Hive for Advertising Analytics
  • Using Streaming for Life Sciences Analytics
  • Overview: Spark and Shark for In-Memory Analytics
  • Using Spark and Shark for In-Memory Analytics
  • Managing Amazon EMR Costs
  • Overview of Amazon EMR Security
  • Data Ingestion, Transfer, and Compression
  • Using Amazon Kinesis for Real-Time Big Data Processing

Day 3

  • Using Amazon Kinesis and Amazon EMR to Stream and Process Big Data
  • AWS Data Storage Options
  • Using DynamoDB with Amazon EMR
  • Overview: Amazon Redshift and Big Data
  • Using Amazon Redshift for Big Data
  • Visualizing and Orchestrating Big Data
  • Using Tableau Desktop or Jaspersoft BI to Visualize Big Data

Global Knowledge is the worldwide leader in IT and business skills training. They deliver via training centers, private facilities, and the Internet, enabling their customers to choose when, where, and how they want to receive training programs and learning services.

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