In the coming decade, billions of simple devices must be connected to the emerging Internet of Things. Todays networking protocols are too expensive and inefficient for this task. This book describes a simpler and scalable architecture that will be used to create big data from billions of small data points in the Internet of Things.
BizTalk 2013 EDI for Healthcare – EDI 834Enrollment Solutions demonstrates how to build both inbound and outbound EDI 834 processes in BizTalk server that follow the required patterns for integrations with health exchanges. Archiving, mapping,reconstituting EDI 837 data, exception handling and advanced logging and reporting are all covered.
Written by an experienced consultant with 25 years of industry experience, Disaster Recovery, Crisis Response, and Business Continuity: A Management Desk Reference is a¬†practical how-to guide that explains how to thrive in the face of natural disasters, man-made events,¬†power outages, hackers, and anything¬†else that might interrupt¬†business operations.
Sensor Technologies: Healthcare, Wellness and Environmental Applications explores the key aspects of sensor technologies, covering wired, wireless, and discrete sensors for the specific application domains of healthcare, wellness, and environmental sensing.¬† It discusses the social, regulatory, and design considerations specific to these domains.
Big Data Application Architecture Pattern Recipes is a tailor made problem-solution approach answering key questions for software architects, solution designers, database professionals, CIOs and¬†CXOs keeping in mind the various problems they encounter while dealing with big data application architecture patterns for clients in¬†a range of¬†industries.
This book explains Intel Trusted Execution Technology for Servers, its purpose, application, advantages, and limitations and¬†guides the server administrator / datacenter manager in enabling the technology as well as establishing a launch control policy that can¬†be¬†used to customize the servers boot process to fit the datacenters requirements.
Cloud Capacity Management helps readers in understanding what the cloud, IaaS, PaaS, SaaS are, how they relate to capacity planning and management¬† and which stakeholders are involved in delivering value. It explains the role of capacity management for creators, aggregators, and consumers of cloud services.
Big Data Imperatives, focuses on resolving the key questions on everyones mind: 'Which data matters? Do you have enough data volume to justify the usage? How do you want to process this amount of data? How long do you really need to keep it active for your analysis, marketing, and BI applications?