Administrative information

Title	Hadoop-based technologies
Duration	60 min
Module	B
Lesson Type	Practical
Focus	Practical - Organisational AI
Topic	Hadoop

Keywords

Map Reduce,Hadoop Framework,

Learning Goals

To know the fundamentals of Map Reduce programming paradigm
To know how to setup Hadoop Framework
To know how to apply the Map Reduce functionalities
To know how to program in Python with library of Map Reduce

Expected Preparation

Learning Events to be Completed Before

Lecture: Data Preparation and Exploration

Obligatory for Students

None.

Optional for Students

None.

References and background for students:

Recommended for Teachers

Software for running Virtual Machine

Lesson Materials

Hadoop Set Up and Usage Step by Step Guide (Link to PDF)
Success message of map reduce operation
Outputted data from Adult Dataset of map reduce operation
Hadoop Code and Instruction (Link to TXT)
PreConfigured Virtual Machine with Hadoop (prepared ad hoc for the lesson)

The materials of this learning event are available under CC BY-NC-SA 4.0.

Instructions for Teachers

The following outline should be followed:

Introduction to Hadoop
Hadoop Functionalities
- Map Reduce Operation
- Data Processing
- Data Locality
Dataset description and preparation
- Adult Dataset preparation
Hadoop SetUp and Configuration
- Hadoop Installation
- Hadoop Configuration
Map and Reduce Instructions
- ML pipeline made with Kubeflow
Library of Map/Reduce in Python
- Google Colab of Map / Reduce Library

Time schedule


Duration (min)	Description	Concepts	Activity	Material
5	Introduction to Hadoop	Introduction to Hadoop	Lecture	Tutorial
10	Usage of Hadoop Functionalities	Features of Hadoop	Laboratory	Tutorial
5	Dataset description and preparation	Adult Dataset preparation	Laboratory	Tutorial
10	Hadoop SetUp	Hadoop Installation	Laboratory	Tutorial
15	Map and Reduce Instructions	Hadoop Programming Script	Running Example	Hadoop Script
15	Library of Map/Reduce in Python	Hadoop Functionalities in Python	Running Example	Google Colab

More information

Click here for an overview of all lesson plans of the master human centred AI

Please visit the home page of the consortium HCAIM

Acknowledgements

The Human-Centered AI Masters programme was co-financed by the Connecting Europe Facility of the European Union Under Grant №CEF-TC-2020-1 Digital Skills 2020-EU-IA-0068.

The materials of this learning event are available under CC BY-NC-SA 4.0

The HCAIM consortium consists of three excellence centres, three SMEs and four Universities