Industrial Internet is the integration of complex physical machines and networked sensors and software. Increasing the number of sensors in industrial equipment is going to increase the data being captured, which needs to be analyzed. This book is a one-stop guide for software professionals to design, build, manage, and operate IIoT applications.
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Alena Traukina is IoT practice Lead at Altoros. She has over 12 years of experience in delivery and support of business-critical software applications, working closely with business owners and providing strategic and organizational leadership for software development. Over the years, Elena has served in different capacities, ranging from software engineer to software engineering manager and the head of Altoros’s Ruby Department. She is also one of the first GE's Predix Influencers.
Jayant Thomas (JT) has a passion for IoT, Machine Learning and Cloud Native architectures at scale. His passion has led him to many successful adventures at Veritas, GE, Oracle, AT&T, Nuance and other startups in building platforms at scale . JT is a MBA from UC Davis along with M.Tech from NIIT, and has more than 15 patents in the IoT, NLP processing and Cloud architectures. JT is also a enthusiastic speaker/writer in contributing to many stimulating thoughts across many conferences and meetups. JT in addition is a active fitness and health freak dabbling in various diets and health fads .
Prashant Tyagi is responsible for enabling the big data strategy at GE Digital for the Industrial Internet that leverages IT and Operational data for predictive analytics. He works with all the P&L verticals (such as oil and gas, power generation, aviation, healthcare, and so on) to enable their IoT use cases on the data and analytics platform. Prior to GE, he was with Cisco, where he was leading the organization, focused on delivering platform solutions for Cisco’s smart services. Before Cisco he co-founded a company focused on delivering intelligent drug discovery data platforms for the biotech and pharma industries. He is on the board of ISSIP, a non-profit cross academia and industry organization, focused on service innovation. He leads a cross-industry special interest group (SIG) on IoT and analytics, and is an advisor to the open source fog computing initiative, ioFog, an Eclipse foundation initiative. Prashant holds a B.Tech from Indian Institute of Technology (IIT) Delhi, an MBA from the Indian Institute of Management (IIM), Bangalore, and an MS in Computer Science from Clemson University. He has publications in leading journals and magazines on IoT, analytics, and data strategy. Prashant is a renowned public speaker and panelist at several conferences.
Kishore Reddipalli is a software technical director and expert in building IIoT big data and cloud computing platform and products at ultra scale. He is passionate in building software for analytics and machine learning to make it simplified for authoring the algorithms from inception to production at scale. He is a speaker in large global conferences in Big data technologies. Over the years he provided leadership in various capacities ranging from Software Engineer to Director of Engineering and Architecture for development of platforms and products in multiple domains such as for clinical decision support system, electronic medical records in healthcare, Predix Platform, Predix Operations Optimization for industrial IoT, Etch Process control at nano meter level using big data & machine learning technologies in Semiconductor Industry. He holds a M.S. in Computer Science from Texas A&M University CC
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Paperback. Condition: New. Your practical guide to designing, building, managing, and operating Industrial Internet of Things (IIoT) applicationsKey FeaturesBuild IIoT applications and deploy them on Platform as a Service (PaaS)Learn data analytics techniques using Spark and TensorFlow for IIoT developmentUnderstand Predix services to accelerate your IIoT application developmentBook DescriptionThe Industrial Internet refers to the integration of complex physical machines with networked sensors and software. The growth in the number of sensors used in industrial machinery has led to an exponential increase in data being captured for predictive analytics.Industrial Internet Application Development is a practical guide for developers who want to create applications that leverage the full capabilities of IIoT. You will get started by learning how to develop your first IIoT application and understanding its deployment and security. Once you're familiar with what IIoT is, you will move on to exploring Edge Development along with the analytics aspect of the IIoT stack. In later chapters, you'll get to grips with the deployment of IIoT applications on the Predix platform. As you cover these concepts, you'll be able to identify key elements of the development framework and understand their importance while considering architecture and design for IIoT applications.By the end of this book, you will have the skills you need to deploy IIoT applications on the Predix platform and incorporate best practices for developing fault-tolerant and reliable IIoT systems.What you will learnConnect prototype devices to CloudStore data in IIoT applicationsExplore data management techniques and their implementationDeploy analytics and visualize the outcomes as alertsImplement continuous deployment using Docker and Cloud FoundryMake your applications fault-tolerant and monitor them with the New Relic toolLearn to build an interface with SalesForceWho this book is forThis book is for software developers, architects, product managers, and executives who are looking to gain insights into Industrial Internet application development. Basic knowledge of any popular programming language such as Python will be helpful. Seller Inventory # LU-9781788298599
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