+44 (0) 2080 049141info@londonittraining.co.uk

LONDON IT TRAINING

Find your next course

Explore our training courses by subject, skill or certification.

All courses

Classroom · Live online · Training for teamsFind the right course for your next step.
  1. Home
  2. »
  3. Big Data Hadoop
Instructor-led training
Big Data Hadoop Training in London and Live Online

Big Data Hadoop

Explore Hadoop distributed storage and processing. Work with HDFS, YARN and MapReduce concepts, then review data ingestion, ecosystem integration and operational troubleshooting.

Request Course Information
Price:
Price on request

Contact us for current fees, dates and exam arrangements.

Intermediate

Understand basic Linux, networking and data-processing concepts.

5 days to complete
Available online
& in class

Select your preferred method

Course overview
Course dates
  • In Classroom
  • Live Virtual
  • 1 - 1 Training
  • Corporate Training
  • Onsite Training
Introduction
Explore Hadoop distributed storage and processing. Work with HDFS, YARN and MapReduce concepts, then review data ingestion, ecosystem integration and operational troubleshooting.


This instructor-led course combines clear explanations with guided exercises and practical scenarios. Work through examples relevant to the subject, review alternative approaches and practise checking your results rather than relying on a demonstration alone.
You will develop a structured approach to implementation, troubleshooting and documentation. The trainer can adapt examples to the agreed learning needs and available training environment. Confirm the course duration, software or lab requirements, delivery arrangements and fees with London IT Training before booking.
This is professional development training. It does not automatically award a third-party vendor certification.
What the course covers
Flexible Ways to Learn

Study your way with flexible learning options designed to fit around your schedule.

Small Groups

With small groups of students, our instructors can work closely with each student

Flexible Class Schedules

Our class schedules are flexible on weekdays, weekend or evening to suit your schedule.

Experienced Instructors

Our instructors follow a modified and personalised approach to engage students during class

Hi-Tech lab Facilities

Lab arrangements vary by course. Confirm access and equipment requirements before booking.

Prerequisites
What you’ll gain

Apply hadoop architecture in a practical course exercise.

Apply hdfs storage in a practical course exercise.

Apply yarn resource management in a practical course exercise.

Apply mapreduce processing in a practical course exercise.

Develop skills for your next step
Relevant career pathways
Technical Practitioner:

Apply the course skills to relevant technical tasks.

Technical Consultant:

Assess requirements and recommend practical implementation choices.

Syllabus

Course context and practical foundations
Review the course objectives and relevant concepts. Set up a suitable training environment, identify a realistic example and agree how to validate the results.

Explore distributed storage, processing and cluster roles. Understand data locality, replication and resource-management trade-offs.

Use file-system operations and inspect storage behaviour. Review permissions, replication, capacity and common failure conditions.

Explain application execution, containers and scheduling. Inspect jobs and identify resource constraints.

Understand map, shuffle and reduce stages. Follow a processing example and evaluate its suitability for a workload.

Explore bringing data into a distributed platform and using suitable query or processing engines. Review formats, partitioning and integration choices.

Inspect logs, monitor resources and troubleshoot job or storage failures. Plan security, backup dependencies and controlled changes.

Complete an integrated exercise using sample data or an isolated training environment. Test the result, document decisions and troubleshooting steps, and identify improvements and next learning objectives.

1
2
3
4
5
6
7

FAQs

Who is this course for?
Explore Hadoop distributed storage and processing. Work with HDFS, YARN and MapReduce concepts, then review data ingestion, ecosystem integration and operational troubleshooting.

Understand basic Linux, networking and data-processing concepts. Some programming and SQL knowledge is helpful. Confirm the supported Hadoop components and isolated cluster environment.

Hadoop architecture; HDFS storage; YARN resource management; MapReduce processing; Data ingestion and ecosystem; Cluster operations.

No. This is professional development training. It does not automatically award a third-party vendor certification.

Contact London IT Training to discuss classroom, live online and corporate delivery arrangements.

Contact the training team for current duration, available dates, fees and software or lab requirements. Do not assume that licences, materials or examination fees are included.

Need help choosing the right course?

Talk to one of our advisers about dates, delivery options and certification routes. We’ll call you back within 1 working day.

LONDON IT TRAINING

Let’s plan
your next step.

Tell us what you would like to learn.

  • Course guidance
  • Dates and delivery
  • Training for teams

Your details are used to respond to your enquiry. Privacy Policy