buchspektrum Internet-Buchhandlung

Neuerscheinungen 2017

Stand: 2020-02-01
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Jeff Barnes, Bob Familiar (Beteiligte)

Business in Real-Time Using Azure IoT and Cortana Intelligence Suite


Driving Your Digital Transformation
1st ed. 2017. xxv, 525 S. 13 SW-Abb., 367 Farbabb. 254 mm
Verlag/Jahr: SPRINGER, BERLIN; APRESS 2017
ISBN: 1-484-22649-6 (1484226496)
Neue ISBN: 978-1-484-22649-0 (9781484226490)

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This book outlines a vision for how today´s businesses can transform to leverage real-time data and advanced machine learning analytics in scenarios such as health monitoring, proactive customer care, real-time inventory, location awareness, and predictive maintenance.
Business in Real-Time provides prescriptive guidance for architects and developers on the design and development of modern Internet of Things (IoT) and Advanced Analytics solutions. In addition, this book offers solutions for those looking to engage their customers and partners through Software-as-a-Service solutions that work on any device.

Whether you are working in Health & Life Sciences, Manufacturing, Retail, Smart Cities and Buildings or Process Control, there exists a common platform from which you can create your targeted vertical solution. Using a reference architecture as a road map and building on Azure Platform foundation services, a solution architecture unfolds that demonstrates a complete end-to-end IoT and Advanced Analytics scenario that provides multitenancy, elasticity and continuous delivery.
What You´ll Learn:

How to design and develop IoT and Advanced Analytics solutions at scale using Azure´s Platform as a Service capabilities

How to automate your software product life cycle using PowerShell, Azure Resource Manager Templates, and Visual Studio Team Services

How to implement Smart Devices and Edge Gateways and leverage Azure IoT Hub and Azure Stream Analytics provide Device Management using a Device Twin and high volume telemetry ingestion and real-time analytics processing to identify alert and alarm conditions and apply real-time business rules

How to leverage Azure Streaming Analytics to ingest millions of events and provide both "Hot" and "Cold" path outputs. Provide Real-Time data insights and analytics to exploit a technical competitive advantage over the competition.

How to implement batch processing using Azure Data Factory. Provide unlimited storage and analysis services with USQL in an Azure Data Lake repository.

How to leverage Machine Learning to predict what´s going to happen next - and create a new form of AI - " Actionable Intelligence " to help shape positive outcomes for the business.

How to provide rich Data Visualizations across a wide variety of mobile and web users with Power BI. Connect the "Actionable Intelligence" from above with push communications to mobile users for powerful alerting and notification capabilities.

How to leverage the next frontier of personal computing break thru innovation - Cognitive API´s and Char-Bots to outsmart the competition and gain a competitive edge.

Learn how today´s businesses can transform themselves by leveraging real-time data and advanced machine learning analytics.
This book provides prescriptive guidance for architects and developers on the design and development of modern Internet of Things (IoT) and Advanced Analytics solutions. In addition, Business in Real-Time Using Azure IoT and Cortana Intelligence Suite offers patterns and practices for those looking to engage their customers and partners through Software-as-a-Service solutions that work on any device.
Whether you´re working in Health & Life Sciences, Manufacturing, Retail, Smart Cities and Buildings or Process Control, there exists a common platform from which you can create your targeted vertical solutions. Business in Real-Time Using Azure IoT and Cortana Intelligence Suite uses a reference architecture as a road map. Building on Azure´s PaaS services, you´ll see how a solution architecture unfolds that demonstrates a complete end-to-end IoT and Advanced Analytics scenario.
What You´ll Learn:

Automate your software product life cycle using PowerShell, Azure Resource Manager Templates, and Visual Studio Team Services

Implement smart devices using Node.JS and C sharp
Use Azure Streaming Analytics to ingest millions of events
Provide both "Hot" and "Cold" path outputs for real-time alerts, data transformations, and aggregation analytics

Implement batch processing using Azure Data Factory
Create a new form of Actionable Intelligence (AI) to drive mission critical business processes

Provide rich Data Visualizations across a wide variety of mobile and web devices Who This Book is For:
Solution Architects, Software Developers, Data Architects, Data Scientists, and CIO/CTA Technical Leadership Professionals