IBM Trainings

Essentials of Big Data with Hadoop using IBM InfoSphere BigInsights

Module 1 : Introduction to Hadoop & Big Data using IBM Infosphere Big Insights

• Describe functions and features of Infosphere Big Insights
• List the capabilities of Hadoop and HDFS
• Administer HDFS
• Describe the use of MapReduce
• Set up a Hadoop cluster
• Manage job execution
• Explain the Oozie workflows
• Describe some scenarios for loading data into HDFS

Module 2 : Introduction to Big Data Programming

• Introduction to Programming in Big Insights
• Annotation Query Language
• Create Views using Regular Expressions, Dictionaries, and Splits
• Create Views using Part of Speech, Blocks, and Patterns
• Create Views using Select Statements and Tables
• Develop and AQL Extraction Application
• Understanding Jaql
• Working with Jaql
• Understanding Apache's Pig

Enterprise Application development for Mobile application Development using IBM Worklight

• Unit 1 - Introduction to IBM MobileFirst Foundation
• Unit 2 - Overview of MobileFirst Studio
• Unit 3 - Developing and Testing the user Interface
• Unit 4 - IBM MobileFirst Client-side development: Core APIs
• Unit 5 - IBM MobileFirst Client-side development: Local Storage APIs
• Unit 6 - Working with UI frameworks
• Unit 7 - Apache Cordova
• Unit 8 - Integration adapters
• Unit 9 - Native and web page integration
• Unit 10 - Using MobileFirst native APIs
• Unit 11 - Security
• Unit 12 - Location Services
• Unit 13 - Notification Mechanisms
• Unit 14 - Deploying an application from development to production
• Unit 15 - Team Development and Application Center

IBM IoT Application Development & Deployment using IBM BlueMix

Day 1

Warm up session

Participants and Faculty introduce and orient themselves to enter the world of Internet of Things.

Internet of Things - An introduction

The idea of collaborative devices working together to achieve a larger goal is not new. Beginning from the simple operational definition, the session will outline the historical perspective right from pre-internet era, specific machine-to-machine communication, radio frequency identification (RFID), context aware computing to wearables. It will conclude with the modern day high-level architecture of Internet of Things (IOT)

Sensors & Actuators

With a recap of contextually essential Electronics, Signals, and Control Systems concepts various popular sensors and actuators such as motion/temperature/light sensors and relays/stepper motors will be i n t r o d u c e d .

Processing Elements

In the backdrop of microcontrollers, rapid prototyping boards like Raspberry Pi, Arduino, and Edison will be introduced with a special focus on Raspberry Pi - the platform around which most of the course labs will be centered.

Lab # 1

Participant's readiness or taking up the IoT challenge will be done in the Lab 1 Part I - Setup the Raspberry Pi Part II Linux Refresher

Day 2

Boot up session

On Trek with JavaScript

A refresher for those who are already familiar with JS and testing waters on how much familiar! A peep into the world of JavaScript for those who have never travelled this lane. As this module lays the foundation for the coding complexities ahead!

Node.js

Node.js environment will be introduced covering its installation on a Raspberry Pi and some experiments to understand possibilities & power.

Lab # 2

• Setting up Node.js environment
• Playing with the REPL Terminal
• Programing in Node.js environment & make Raspberry Pi Blink

Day 3

Boot up session

Protocols

The concepts of communication protocol between various IOT components - MQ Telemetry Transport will be explained.

Lab # 3

• Learn MQTT Server installation on desktop, gain familiarity with MQTT protocol.
• Understand MQTT Node.js module usage on Raspberry Pi and create an end-to-end simple IoT application

Node-RED

Node-RED will be introduced covering how to wire various devices and APIs together with simple and meaningful examples.

Lab # 4

• Learn Node-RED installation, gain familiarity with Node-RED UI and its elements
• Understand basic flows with focus on Function Node, and acquire basic proficiency in creating Node-RED flows

Day 4

Boot up session

IoT in Action

At this stage IBM Bluemix will be introduced outlining its capabilities and exceptional ease of use to create compelling IOT applications. This will be done via a few carefully devised "starter" recipes to understand the process. At the end of this, student will be able to create simple IOT Apps using IBM Bluemix.

Lab # 5 & 6

• Gain familiarity with the Bluemix IoT Services and its UI/Navigation, deploy a Node-RED application on Bluemix
• Understand devices and gateway registration process. Develop and deploy the Node-RED application outlined in the section on Overview.
• Explore the world of sensors in Node-RED environment with Raspberry Pi

IoT - What's Brewing

Here real life examples, case studies will be discussed with the perspective of "how Bluemix empowers the developers and the end users to quickly leveraging IOT in real life". The IOT landscape will be summarized and glimpses of IBM's Vision of IOT future road map will be shared to conclude the course.