Internet of things IoT- in Action (The software stack)

Quickly learn the complete technology stack for implementing IoT applications.
Rating: 4.3 out of 5 (181 ratings)
8,483 students
Internet of things IoT- in Action (The software stack)
Rating: 4.3 out of 5 (181 ratings)
8,500 students
This unique course gives end-to-end understanding of the technology stack behind implementing IoT solutions. In the beginning of the course we see two very good real-time examples of IoT. We will walk you through step-by-step thinking process for implementing IoT solutions. We will introduce the technologies Nifi, Kafka, Storm, Spark, Hbase, Hadoop, Druid, Machine learning. We will learn how to use these technologies in building the IoT solution. We will take you to the AWS cluster to show the real time understanding of how these technologies work together. We will introduce machine learning and demonstrate the role of machine learning in building Internet of Things applications.

Requirements

  • No prior knowledge is expected. we will introduce all technologies Nifi, Kafka, Storm, Spark, Druid and will show their role in building IoT solutions

Description

This course is to quickly learn all the technologies required to implement IoT solutions. The technologies to gather data, build messaging layer, quickly process real-time events, Analysis of data at rest, visualizations, machine learning and more.

You will see good example scenarios where IoT is used at its best. A scenario explained end-to-end with all participating technology stack.

You will get clear understanding of each technology component and you will be able to decide which technology to be used for which requirement.

Who this course is for:

  • Any one who is interested in learning the technology stack behind IoT in a short span can take this course

Course content

1 section • 15 lectures • 1h 2m total length
  • Introduction and course overview
    01:36
  • Introduction to Tata-Band
    02:29
  • Uses of Tata-Band in day to day life
    02:50
  • how T-Band saves life
    02:37
  • How T-Band saved the life - how it used IoT and Machine learning
    02:22
  • Another example IoT- Truck streaming - a solution approach
    02:33
  • What data is required to achieve this, how do we get the data
    02:27
  • what is the technology behind this
    05:43
  • Map our requirement to technologies
    03:45
  • Data gathering and enrichment with Nifi
    10:08
  • Messaging layer Kafka
    03:52
  • Storm - creating a topology for IoT
    09:02
  • Druid - Analysis and visualizations for IoT
    05:28
  • Machine learning and analysis with Zeppelin - IoT
    05:59
  • Conclusion
    01:48

Instructor

Technology enthusiastic
Srinivas Tata
  • 4.3 Instructor Rating
  • 181 Reviews
  • 8,510 Students
  • 1 Course

I am a techie with a lot of interest in learning and implementing new technologies. I have more than 13 years of experience in implementing solutions. I have implemented several best practices in Database designing, performance tuning, IoT implementation, Splunk implementations and Hyperledger fabric implementations. I have a good experience in delivering sessions on all trending technology topics.  Using the correct examples pushing the right information in to student's mind is my specialty...

I usually take the right examples and will demonstrate the example with full code and complete presentation. You contact me on the specified email id for more details about this content.