January 2017
Intermediate to advanced
800 pages
24h 49m
English
Content preview from Internet of Things and Data Analytics Handbook
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PREFACE
Designing and implementing a sustainable Internet of Things and data analytics (IoT/DA) project requires core knowledge on a myriad of topics, including invention and innovation, strategic planning, state‐of‐the‐art technologies, security and privacy, business plan, and more. For any successful project, we must consider the following:
- What are the goals?
- What are the givens?
- What are the constraints?
- What are the unknowns?
- Which are the feasible solutions?
- How is the solution validated?
How does one apply technical and business knowledge to optimize a business plan that considers emerging technologies, availability, scalability, sustainability, agility, resilience, best practices, and rapid time to value? Our challenges might include:
- To invent something beneficial
- To design and build using green infrastructure
- To apply best practices to reduce power consumption
- To apply IT technologies, wireless, networks, and cloud
- To prepare a strategic business plan
And this list of challenges is not comprehensive. A good understanding of IoT/DA technologies and their anatomy, taxonomy, ecosystem, and business model will enable one to plan, design, and implement IoT/DA projects successfully.
The goal of this handbook is to provide readers with essential knowledge needed to implement an IoT/DA project. This handbook embraces both conventional and emerging technologies, as well as best practices that are being evolved in the IoT/DA industry. By applying the information encompassed ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.