Description
Building Enterprise IoT Applications
Author: Vuppalapati Chandrasekar
Language: EnglishSubjects for Building Enterprise IoT Applications:
Keywords
LBP; IoT Device; Full stack IoT; IoT for Enterprise; End to end IoT book; Fog Computing; Solution pricing; Book for IoT Enterprise; Designing IoT for full stack applications; IoT Data; Development principles of full stack IoT; In depth IoT Book; IoT Sensor; Guide for Enterprise IoT; IoT Book for entrepreneurs; MQTT; Building blocks of IoT; Building blocks for corporate IoT; AVR; IoT for beginners; IoT Platform; IoT foundations architectures; BLE; IoT applications; LBP; IoT Hub; IoT Architecture; CoAP; MCU; MFCC; Circular Buffer; Cap Theorem; Digital Twin; Apache Spark; Arduino Ide; Kalman Filter; Multivariate Time Series Data; Double Buffering; Peripheral Devices; Jupyter Notebook
Approximative price 56.31 €
In Print (Delivery period: 14 days).
Add to cart the book of Vuppalapati ChandrasekarPublication date: 08-2021
· 17.8x25.4 cm · Paperback
Publication date: 12-2019
· 17.8x25.4 cm · Hardback
Description
/li>Contents
/li>Biography
/li>
McKinsey Global Institute predicts Internet of Things (IoT) could generate up to $11.1 trillion a year in economic value by 2025. Gartner Research Company expects 20 billion inter-connected devices by 2020 and, as per Gartner, the IoT will have a significant impact on the economy by transforming many enterprises into digital businesses and facilitating new business models, improving efficiency and increasing employee and customer engagement. It?s clear from above and our research that the IoT is a game changer and will have huge positive impact in foreseeable future.
In order to harvest the benefits of IoT revolution, the traditional software development paradigms must be fully upgraded. The mission of our book, is to prepare current and future software engineering teams with the skills and tools to fully utilize IoT capabilities. The book introduces essential IoT concepts from the perspectives of full-scale software development with the emphasis on creating niche blue ocean products. It also:
- Outlines a fundamental full stack architecture for IoT
- Describes various development technologies in each IoT layer
- Explains IoT solution development from Product management perspective
- Extensively covers security and applicable threat models as part of IoT stack
The book provides details of several IoT reference architectures with emphasis on data integration, edge analytics, cluster architectures and closed loop responses.
Business Section. IoT Market Research. IoT Major Platforms. Product Management. Program Management. IoT Technology Landscape. SDLC & IoT. Data Governanace. Data Security & Threat Models. Data Privacy. Design of KPIs. Government Regulations. Software Technology Section. IoT Architecture Patterns. IoT Full Stack View. IoT Sensors & Embedded Devices. Edge Processors. Mobile Software Platform. Message Platforms. Middleware & Microservices. Web & Cloud Platfroms. Database Platfroms. Big Data Technologies. Cluster & Stream Platfroms. Analytics Platfroms. Visualzation Platforms. Testing. IoT Security. Usecases. Dairy Agriculture. Hospitality & Ambience Intelligence. Preventative Healtcare.
Chandra is a Software IT Executive with diverse experience in Software Technologies, Enterprise Software Architectures, Cloud Computing, Big Data Business Analytics, Internet Of Things (IoT), and Software Product & Program Management. Chandra held engineering and Product leadership roles at GE Healthcare, Cisco Systems, St. Jude Medical, and Lucent Technologies, a Bell Laboratories Company. Chandra teaches Software Engineering, Mobile Computing, Cloud Technologies, and Web & Data Mining for Masters program in San Jose State University. Additionally, Chandra held market research, strategy and technology architecture advisory roles in Cisco Systems, Lam Research and performed Principal Investigator role for Valley School of Nursing where he connected Nursing Educators & Students with Virtual Reality technologies. Chandra has functioned as Chair in numerous technology and advanced computing conferences such as: IEEE Oxford, UK, IEEE Big Data Services 2017, San Francisco USA and Future of Information and Communication Conference 2018, Singapore. Chandra graduated from San Jose State University Masters Program, specializing Software Engineering, and completed his Master of Business Administration from Santa Clara University, Santa Clara, California, USA