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In this course, you will learn:-
- This one-of-a-kind course covers the whole technical stack that goes into building IoT solutions. We see two excellent real-time IoT examples at the start of the course. We'll take you through a step-by-step approach to developing IoT solutions. Nifi, Kafka, Storm, Spark, Hbase, Hadoop, Druid, and Machine Learning will be covered. We'll learn how to integrate these technologies into an IoT solution. We'll take you to the AWS cluster to demonstrate how these technologies function together in real-time. We'll go through the basics of machine learning and show how it may be used to create Internet of Things applications.
Syllabus:-
- Introduction and course overview
- Introduction to Tata-Band
- Uses of Tata-Band in day to day life
- how T-Band saves life
- How T-Band saved the life - how it used IoT and Machine learning
- Another example IoT- Truck streaming - a solution approach
- What data is required to achieve this, how do we get the data
- what is the technology behind this
- Map our requirement to technologies
- Data gathering and enrichment with Nifi
- Messaging layer Kafka
- Storm - creating a topology for IoT
- Druid - Analysis and visualizations for IoT
- Machine learning and analysis with Zeppelin - IoT
