Textbook Series
The book series is written for use in senior and graduate-Level courses in colleges and universities. The typical reader is expected to have completed a couple of courses in programming using traditional high-level languages at the college-level, and is either a senior or a beginning graduate student in one of the science, technology, engineering or mathematics (STEM) fields.
The book series is also written for use within various industries that may be interested in rolling out products and services that utilize these new technologies. Service providers interested in offering a broader perspective of these emerging technologies can use these textbooks for their customer and developer training programs.
Hundreds of tested code examples and case studies to provide the readers the necessary guidance and knowledge to develop working code for real-world applications. Concurrent development of practical applications that accompanies traditional instructional material within these book further enhances the learning process.
These textbooks provide a rigorous "no hype" guide to advanced and emerging technologies. We adopt proven pedagogical methods and an informal approach to describing well-known concepts as our focus is on getting the reader firmly on track to developing real-world applications as opposed to more theory.
Arshdeep Bahga is a researcher in cloud computing, IoT and big data analytics. Arshdeep completed Masters degree in Electrical & Computer Engineering from Georgia Institute of Technology in 2010. He worked as Research Scientist with Georgia Tech from 2010-2016. Arshdeep has authored several scientific publications in peer-reviewed journals. Arshdeep received the 2014 Roger P. Webb - Research Spotlight Award from the School of Electrical and Computer Engineering, Georgia Tech.
Vijay Madisetti is a Professor in School of Cybersecurity & Privacy at Georgia Institute of Technology. Vijay is a Fellow of the IEEE, and received the 2006 Terman Medal from the American Society of Engineering Education and HP Corporation.
The greatest strength of the book is its wide coverage of not only cloud computing, but also many related technologies, including Hadoop and MapReduce, big data analytics, and programming in Python for the cloud...As a result, the book is far more than just a user’s guide to cloud computing: readers get a solid overview of the whole cloud ecosystem and underlying technologies, and learn how to create useful cloud applications.
This book provides a design methodology to establish an IoT system from a device in the physical world to an application in the virtual world...Many presented examples of controller services, web services, applications, and data analysis, in several IoT domains, will be useful for readers to capture the concrete idea.
This book provides rich knowledge on big data analytics from theory to practical applications. Readers can get a sense of this from its subtitle. The book is organized in three parts. I believe this book will tremendously benefit those who are interested in learning about Big Data Analytics. Furthermore, the book can also be adopted as a standard textbook for a BDA course.
The book covers blockchain conceptually, but also includes a number of coded examples...Overall the book is well written, offers clear and useful content, and is a good base upon which to build blockchain applications. The balance between the explanation of the blockchain architecture and more technical proof of concept through code is also quite engaging.
This book consists of ten chapters, one appendix, and three parts: Blockchain Technology, Blockchain Components & Applications, and Advanced Topics...This book is an interesting read for developers and professionals working in the area of blockchain application development.
Devoted to the problem of “big data,” which has become an important business in many areas of modern life, this book addresses the state of affairs that is termed the “Fourth Industrial Revolution...At this time, “big data” developments are basically focused on technical issues of adapting stupendous information processing requirements to the conventional facilities of common information technology. This book presents a good, comprehensive reference source for these efforts.
A great First Book for Application Patterns...This was the first technical book I read on Etherium Blockchain Dapps. They have a diverse collection of use-cases which is great to see, and example implementations. The authors have made their code run, so the examples are not hypothetical.
The authors have clearly thought this through. Not only do they present the reader with common use cases and design patterns for the application of blockchain tech to solve problems, they present working code. While the code is not linked to any repo (as far as I can tell), the examples are simple and clear enough to copy by hand and get them running. Recommended!
This book is by far the best book on Ethereum (uh, blockchain) I've read so far. No other book or on-line course has helped me execute more rapidly, nor has any other resource helped me really understand what's going on under the covers. It's like the Stevens' "TCP/IP Illustrated" books for blockchain.
This is an excellent book, explaining the concepts very well, starting with foundation material, covering numerous hands-on cases, and finally digging into the more detailed topics. The coverage is amazing including topics in Cloud Computing, Big Data, Analytics, Hadoop, Python, and several applications, a nice mixture of breadth and depth. I strongly recommend this as a textbook for graduate as well as senior level undergraduate courses in cloud computing, data science, and analytics.
This is a very good introductory book on Cloud computing. I have been using it in class for two years. It presents an unbiased coverage of the topics.
What I like best about this book is that it covers Cloud Computing horizontally & also deep dives into the topics as required creating a very good balance. Here are somethings that I loved about this book...Provides vendor neutral details about different cloud services & deployment models...Also teaches advanced concepts about Cloud & Big-Data to make one comfortable enough to start building applications for cloud.
A very good coverage of the subject. I would highly recommend this book for anyone interested in knowing more about Big Data. This is a good book in terms of "foundation".
I do like everthing in this book. Very easy way explain about cloud computing and at the same time comparison with aws features. Many thanks to share your knowledge in this book.
It's a really great book for an introductory session to IoT. It also provides a good introduction to cloud computing concepts and web server integration. It also has the Python programming frameworks covered properly, and it would be sufficient enough to prepare this book for any Embedded/IoT interviews.
Very good book. Should be used as text book for courses. Good examples and implementations. Every student should read to learn. Good for professionals also who are starting in to the subject.
This is a wonderful book, written very comprehensively covering all what is required to learn. The best part is examples! So many of them, it makes the theory so easy to understand and more importantly apply. I think it's a great book as a text book as well as for anyone who wants to learn cloud computing.
