Architecting Big Data & Analytics Solutions - Integrated with IoT & Cloud (eBook, ePUB)
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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 colle...
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.
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