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Amazon Web Services – Big Data

Course Details

Name Amazon Web Services – Big Data
Virtual Classroom
Start Date:
Working Days:
£1163.00 +vat
was £1499.00
Please Call
Course ID:


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.

Learning Objectives

This course teaches you 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
  •   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


We recommend that attendees of this course have the following prerequisites:

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

Course Content

Day 1

  •   Overview of Big Data
  •   Ingestion
  •   Big Data streaming and Amazon Kinesis
  •   Using Kinesis to stream and analyze Apache server logs
  •   Storage Solutions
  •   Querying Big Data using Amazon Athena
  •   Using Amazon Athena to analyze log data
  •   Introduction to Apache Hadoop and Amazon EMR

Day 2

  •   Using Amazon Elastic MapReduce
  •   Storing and Querying Data on DynamoDB
  •   Hadoop Programming Frameworks
  •   Processing Server Logs with Hive on Amazon EMR
  •   Streamlining Your Amazon EMR Experience with Hue
  •   Running Pig Scripts in Hue on Amazon EMR
  •   Spark on Amazon EMR
  •   Processing New York Taxi dataset using Spark on Amazon EMR

Day 3

  •   Using AWS Glue to automate ETL workloads
  •   Amazon Redshift and Big Data
  •   Visualizing and Orchestrating Big Data
  •   Visualizing
  •   Managing Amazon EMR Costs
  •   Securing Big Data solutions
  •   Big Data Design Patterns

Attend From Anywhere


How Attend from Anywhere works

Our ‘Attend from Anywhere’ courses allow you to access award-winning classroom training without leaving your home or office. We use WebEx web and video conferencing platform by Cisco. Before you book you should check to ensure you meet the WebEx system requirements and run a test meeting to ensure the software is compatible with your firewall settings (if it doesn’t work you should adjust your settings or contact your IT department about permitting the website).

WebEx system requirements >

Run a WebEx test meeting >

  • Up to three weeks before the start of the course we will send you Joining Instructions by email.
  • You should enter ‘My Virtual Account’ to update your address for courseware and book a pre-test with a member of the Virtual Learning Team, who will check everything works.
  • 15 minutes before the course begins you should launch the software, connect your audio and familiarise yourself with the interface and how the virtual interactions work.
  • The course will be split into multiple sessions, with short breaks in between so you can stay focused and refreshed.
  • Throughout the course the learning professional will use an electronic whiteboard, which will transmit all the notes directly to your screen.
  • You can ask the learning professional a question at any time, either by simply speaking aloud through your microphone or by clicking the virtual ‘raise-a-hand’ button on the interface.
  • Towards the end of the course there will be plenty of time for detailed Q&As with the learning professional, just as if you were physically in the classroom.
  • Following the course you will be asked to complete a course evaluation form, which will allow you to give detailed feedback on your experience and help us to make future improvements.
  • For four weeks after the course has finished you will have on-demand access to helpful videos on the subject matter, and we may send you useful emails reminding you of the ‘Key Learning Points’.

Benefits of Attend from Anywhere

Access to experts

Receive full support from our subject-matter experts for the duration of your course.


Access your training from home, the office, or anywhere with internet access.


Save money on training and expenses like transport, hotels, meals and childcare.


Our technology makes our online courses the same high quality as our classroom training.


Reduce time out of the office and time spent travelling to and from training centres.


What equipment do I need for an Attend from Anywhere course?

You will need an internet-connected computer and a USB headset with an in-built mic to interact with the trainer. Two monitors are recommended; one to stream the video from the classroom and the other to display the interactive interface.

How reliable are Attend from Anywhere courses?

We use leading Cisco technology and our classrooms are specifically optimised to improve sound quality for remote attendees. We also offer a pre-test so you can test everything is working before the course starts.

How are remote attendees made to fell included?

Our trainers are specially trained on how to interact with remote attendees and our technology allows them to take over remote PCs. Our remote labs ensure all participants can take part in hands-on class exercises wherever they are.

What makes Attend from Anywhere courses cost effective?

Our technology makes our Attend from Anywhere courses the same high-quality experience as our classroom training, so we do not price them differently. However, organisations and individuals do make significant financial savings by booking this type of course when associated costs (such as travel, expenses, hotels, food and childcare) are factored in.

How can I take the exam remotely?

You may be able to take your exam via one of our accredited remote live proctors. Where this is not possible you may be issued with an exam voucher or required to attend a classroom in order to take the exam. Please contact us for specific details in relation to your course.

If you are able to take your exam remotely you need to book it before the course begins  and switch on a webcam to enable invigilation and show photo ID (please note that exam slots are subject to availability with the live proctors and may not be available during the week of the exam. Exam slots are booked on a first come first served basis).

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