32042 Big Data on AWS

Duration: 
3 days
Codes: 
AMWSBD,AWS
Versions: 
32042

Overview

Big Data on AWS introduces you to cloud-based big data solutions such as Amazon Elastic MapReduce (EMR), Amazon Redshift, Amazon Kinesis and the rest of 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 Hive and Hue. 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.

Intended Audience

This course is intended for:

  • 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

Delivery Method

This course is delivered through a mix of:

  • Instructor-Led Training (ILT)
  • Hands-On Labs

Hands-On Activity

This course allows you to test new skills and apply knowledge to your working environment through a variety of practical exercises.

Audience

This course is intended for: Individuals responsible for designing and implementing big data solutions, namely Solutions Architects Data Scientists and Data Analysts interested in learning about the services and architecture patterns behind big data solutions on AWS

Prerequisites

We recommend that attendees of this course have:

  • Basic familiarity with big data technologies, including Apache Hadoop and HDFS
  • Knowledge of big data technologies such as Pig, Hive, and MapReduce is helpful but not required
  • Working knowledge of core AWS services and public cloud implementation
  • Students should complete the AWEssentials course or have equivalent experience
  • Basic understanding of data warehousing, relational database systems, and database design

Course Outline

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 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

Thinking about Onsite?

If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. It's a cost effective option.

Submit an enquiry from any page on this site, and let us know you are interested in the requirements box, or simply mention it when we contact you.

Upcoming Dates

  • GREEN This class is Guaranteed To Run.
  • SPVC - Self-Paced Virtual Class.
  • Click a Date to Enroll.
Course Location Days Cost Date
Onsite
Onsite2 1500 £1500 2018-12-11
London
London3 1500 £1500 2018-12-11
Onsite
Onsite3 1500 £1500 2018-12-11
London
London3 1939 £1939 2019-01-21
London
London3 1939 £1939 2019-01-21
London
London3 1939 £1939 2019-01-21
Midlands
Birmingham3 1436 £1436 2019-01-28
London
London3 1436 £1436 2019-01-28
Hampshire
Southampton3 1436 £1436 2019-01-28
Manchester
Manchester3 1436 £1436 2019-01-28
Yorkshire
Leeds3 1436 £1436 2019-01-28
Berkshire
Wokingham3 1436 £1436 2019-01-28
London
London3 1500 £1500 2019-02-13
London
London3 1500 £1500 2019-02-13
London
London3 1500 £1500 2019-02-13
Lausanne
Lausanne3 2800 £2800 2019-05-06
London
London3 1500 £1500 2019-05-08
London
London3 1500 £1500 2019-05-08
London
London3 1500 £1500 2019-05-08