Big data analytics in IOT – Krishna Basudevan

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Big data analytics in IOT – Krishna Basudevan

$33.00

There are five axes of new digital technology forces those are changing the world order today in digital adoption. These forces are abbreviated as SMACI (Acronym for Social, Mobile, Analytics, Cloud and Internet of Things(IOT) ). These forces have brought the digital disruption in life style of individual and the sea change in the strategy of new age enterprise).

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Big data analytics in IOT

An essential guide for application of big data analytics in Internet of Things domain

2044ce9d15ac4c466cb2ac0c8525f33fa82cd5f5 - esyGB Wiki

There are five axes of new digital technology forces those are changing the world order today in digital adoption. These forces are abbreviated as SMACI (Acronym for Social, Mobile, Analytics, Cloud and Internet of Things(IOT) ). These forces have brought the digital disruption in life style of individual and the sea change in the strategy of new age enterprise).

Business has to continuously adopt to new digital technology for improving the three vital key performance indicators, i.e Revenue enhancement, Cost reduction and customer experience. IOT has brought the digital experience to a whole new level. When integrated with Big data analytics, it empowers organisation to disrupt markets or be competitive, reduce the cost of operation and increase the wallet share of customer. Today we talk about Industry 4.0 where machines are getting intelligent. The machines are talking, the barriers between machine and human communications are breaking through innovative technology applications.

IOT has widened the innovation landscape in technology. These innovations are in every spare of life, whether it is life style products, business operations performance or governance. You can think of smart car, smart city, smart grid, smart building, smart home, smart life style etc, limited by your imagination. The marriage of information technology and operational technology has made it possible. All those digital technologies are working in cohesion to make internet of things a reality of life.

The single most driver for IOT adoption is innovation in communication technology that is the backbone of IOT revolution. As data from sensors and SCADA systems are carried to cloud servers from the remote locations, these data are highly unstructured. The volume and velocity of such data is too huge and the time need to analyse is very short. Hence comes the stream of Big data analytics in IOT.

Big data analytics and IOT course will inspire you to explore your mind to an unbounded thought process of possibilities. Your thought will be the only limiting force when you start unveiling the potentials.

You would be learning the IOT from its origination perspective , how industry is approaching it, what are the challenges, how unstructured data in real time basis is analysed, what insight it can give. It will also provide the tool, technology and platform available for experimentation and business intelligence. You will be challenged to get yourself working as a team player because independently nobody can excel in this field, together a group can. The technology domain will discuss the working expertise you need for finding a place in IOT and big data analytics value chain.

The course is accompanied with the industry use case, quiz and assignment to evaluate the progress. We wish you happy journey for "Big Data And IOT" course.

Course Curriculum

Evolution of IoT

  • Introduction to IoT (10:41)
  • History and prediction for IoT (5:16)
  • IoT Eco System (9:14)
  • Advantage associated with IoT (4:00)

Brief Introduction of Big Data

  • Introduction to Big data analytics (10:24)

Industry Gain from IoT

  • Blending Big data analytics and IoT (6:30)

Industry approach to Big data analytics in IoT

  • Big data analytics in IoT (8:43)
  • How IoT feeds to Big data analytics (5:53)
  • Merger of industries (6:09)

Barriers in adoption of Big data analytics in IoT

  • Challenges associated with IoT (5:15)

The promising opportunities

  • The upcoming opportunities (9:39)

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