
In this Lecture, you will understand the history of evolution of IOT and its future prediction on adoption in various industries.
IOT is a multi disciplinary technology evolution where different engineering streams conjure to provide a unique value proposition to man kind. In this lecture, you will understand the various players and their role that forms the eco-system.
This lecture talks about the various advantages about IOT deployments with big data analytics engrained.
In this lecture, you will be provided a brief on what is big data.
Operational technology were already existing since decades. But the business benefits were started realising because of bringing in Analytics. In this lecture, we will discuss about the business gains of implementing big data analytics in IoT.
In this lecture, we will discuss as to how to use big data analytics in IoT domain. AS IOT is a horizontal technology, it will be the domain expertise of individual that helps in identifying the key performance indicators (KPI) derivation using Big data analytics.
In this lecture, you will understand the data feeds to Big data analytics from IoT systems.
In this lecture, we discuss on 'How industry has merged together or come together to provide a greater level of intelligence to business, people and government agency' and hence greater efficiency levels.
In this lecture, you will understand the barriers in adoption of IoT. Why you as a programmer or analyst or data scientist must incorporate solutions to few of those barriers while deploying IOT solutions to bring in confidence in public, regulators and business.
In this lecture, we discuss the immense opportunity that has been created by deploying big data analytics in IoT. What knowledge should the prospective aspirant of big data scientist acquiring to enhance their career goals? Also, what are the emerging technology that is going to influence the pay checks of aspiring individuals?
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.