AWS Training Overview

This Big Data on AWS training course teaches attendees how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools, including Hive and Hue. Students learn how to create big data environments and work with Amazon DynamoDB, Amazon Redshift, Amazon Quicksight, Amazon Athena, and Amazon Kinesis. This course also covers best practices for designing big data environments for security and cost-effectiveness.

Location and Pricing

Most Accelebrate courses are taught as private, customized training for 3 or more attendees at our clients' sites worldwide. In addition, we offer live, private online classes for teams who may be in multiple locations or wish to save on travel costs. Please visit our client list for organizations for whom we have delivered onsite training. To receive a customized proposal and price quote for private on-site or online training, please contact us.

AWS Training Objectives

All students will learn 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 on Amazon EMR
  • Choose appropriate AWS data storage options
  • Identify the benefits of using Amazon Kinesis for near real-time big data processing
  • Leverage Amazon Redshift to efficiently store and analyze data
  • Comprehend and manage costs and security for a big data solution
  • Secure a Big Data solution
  • Identify options for ingesting, transferring, and compressing data
  • Leverage Amazon Athena for ad-hoc query analytics
  • Leverage AWS Glue to automate ETL workloads
  • Use visualization software to depict data and queries using Amazon QuickSight
  • Orchestrate big data workflows using AWS Data Pipeline

AWS Training Outline

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Introduction
Data Ingestion, Storage, and Processing
  • Overview of Big Data
  • Big Data Ingestion and Transfer
  • Big Data Streaming and Amazon Kinesis
  • Big Data Storage Solutions
  • Big Data Processing and Analytics
Amazon EMR and Hadoop Frameworks
  • Apache Hadoop and Amazon EMR
  • Using Amazon EMR
  • Hadoop Programming Frameworks
  • Web Interfaces on Amazon EMR
  • Apache Spark on Amazon EMR
ETL, Data Warehousing, Cost, and Security
  • Using AWS Glue to automate ETL workloads
  • Amazon Redshift and Big Data
  • Visualizing and Orchestrating Big Data
  • Managing Big Data Costs
  • Securing Your Amazon Deployments
  • Big Data Design Patterns
Conclusion
Request Pricing
Lecture percentage

50%

Lecture/Demo

Lab percentage

50%

Lab

Course Number:

AWS-117

Duration:

3 Days

Prerequisites:

All students should have:

  • Basic familiarity with big data technologies, including Apache Hadoop, MapReduce, HDFS, and SQL/NoSQL querying
  • Students should complete the free Big Data Technology Fundamentals web-based training or have equivalent experience
  • Working knowledge of core AWS services and public cloud implementation
  • Taken Accelebrate's AWS Technical Essentials course or have equivalent experience
  • Basic understanding of data warehousing, relational database systems, and database design

Training Materials:

All AWS training students will receive comprehensive courseware.

Software Requirements:

A system free of restrictive firewalls that prevent SSH and RDP into AWS virtual machines.

Contact Us:

Accelebrate’s training classes are available for private groups of 3 or more people at your site or online anywhere worldwide.

Don't settle for a "one size fits all" public class! Have Accelebrate deliver exactly the training you want, privately at your site or online, for less than the cost of a public class.

For pricing and to learn more, please contact us.

Contact Us Train For Us

Toll-free in US/Canada:
877 849 1850
International:
+1 678 648 3113

Toll-free in US/Canada:
866 566 1228
International:
+1 404 420 2491

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Atlanta, GA 30309-3918
USA

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