Architecting Big Data Solutions Integrated with IoT & Cloud
IoT, Big Data and Cloud Computing are three distinct technology domains with overlapping use cases. Each technology has its own merits; however, the combination of three creates a synergy and the golden opportunity for businesses to reap the exponential benefits. This combination can create technological magic for innovation when adequately architected, designed, implemented and operated.
We can start with a high-level view of these technologies, defining them from architectural perspectives and provide an overview of their relationships in creating the synergies and potential benefits for business.
To identify the relationships amongst these three technologies, we can start with the IoT and Big Data relationship. I propose IoT as the input or source data for the Big Data solutions. Big Data includes many types of data sets; however, the IoT data is essential to create innovations, new insights, and new business opportunities.
You may ask where does the Cloud Computing fit in this magical combination. Cloud Computing presents enabling and empowering capabilities, not only as a hosting platform for the Big Data but also providing advanced processing and analytics in an economical, scalable, reliable and agile manner.
Another view for identifying relationships can be obtained by looking at IoT an enriching factor for Big Data and Cloud as empowering. With the contributions from IoT and Cloud, the Big Data can achieve unprecedented results for creating new businesses and growing existing ones.
Big Data solutions without Cloud can be costly and complicated due to infrastructure requirements for storage, process and analytics requirements. Not only the enormous volume of the Big Data but also other vital characteristics such as a variety of data sources, velocity (speed), the veracity of data and required value from data in motion makes it a very complex system.
One of my recent books titled Architecting Big Data Solutions Integrated with IoT & Cloud delves into details for these three distinct technologies integrated for coherence and creating strategic business insights with agility.
We can start with a high-level view of these technologies, defining them from architectural perspectives and provide an overview of their relationships in creating the synergies and potential benefits for business.
To identify the relationships amongst these three technologies, we can start with the IoT and Big Data relationship. I propose IoT as the input or source data for the Big Data solutions. Big Data includes many types of data sets; however, the IoT data is essential to create innovations, new insights, and new business opportunities.
You may ask where does the Cloud Computing fit in this magical combination. Cloud Computing presents enabling and empowering capabilities, not only as a hosting platform for the Big Data but also providing advanced processing and analytics in an economical, scalable, reliable and agile manner.
Another view for identifying relationships can be obtained by looking at IoT an enriching factor for Big Data and Cloud as empowering. With the contributions from IoT and Cloud, the Big Data can achieve unprecedented results for creating new businesses and growing existing ones.
Big Data solutions without Cloud can be costly and complicated due to infrastructure requirements for storage, process and analytics requirements. Not only the enormous volume of the Big Data but also other vital characteristics such as a variety of data sources, velocity (speed), the veracity of data and required value from data in motion makes it a very complex system.
One of my recent books titled Architecting Big Data Solutions Integrated with IoT & Cloud delves into details for these three distinct technologies integrated for coherence and creating strategic business insights with agility.
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Dr Mehmet Yildiz is a postdoctoral researcher in cognitive science and technologist who has worked as a Distinguished Enterprise Architect certified by the Open Group on multi-billion dollar enterpris
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