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.
Integrating Big Data with IoT and Cloud architectures provide substantial business benefits. It is like a perfect match. IoT collects real-time data. Big Data optimises data management solutions. Cloud collects, hosts, computes, stores, and disseminates data rapidly.
Based on these compelling business propositions, the primary purpose of this book is to provide practical guidance on creating Big Data solutions integrated with IoT and Cloud architectures. To this end, the book offers an architectural overview, solution practice, governance, and underlying technical approach for creating integrated Big Data, Cloud, and IoT solutions.
The book offers an introduction to solution architecture, three distinct chapters comprising Big Data, Cloud, and the IoT with the final chapter, including conclusive remarks to consider for Big Data solutions. These chapters include essential architectural points, solution practice, methodical rigour, techniques, technologies, and tools.
Creating Big Data solutions are complex and complicated from multiple angles. However, with the awareness and guidance provided in this book, the Big Data solutions architects can be empowered to provide useful and productive solutions with growing confidence.
It was published last month, and the sales started picking up. This is the first of a kind book for emerging technology. It is expected to be very popular.
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.
Even though these three technologies are distinct and have their use cases, for the scope of this book, the priority order for this book is the Big Data. It is the core value for creating business value.
To identify the relationships amongst these three technologies, we can start with the IoT and Big Data relationship. In this book, 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.
