Read Analytics for the Internet of Things (Iot)

Analytics for the Internet of Things (Iot)

Andrew Minteer

4.9/5 (23574 ratings)

Description:Break through the hype and learn how to extract actionable intelligence from the flood of IoT data About This Book - Make better business decisions and acquire greater control of your IoT infrastructure - Learn techniques to solve unique problems associated with IoT and examine and analyze data from your IoT devices - Uncover the business potential generated by data from IoT devices and bring down business costs Who This Book Is For This book targets developers, IoT professionals, and those in the field of data science who are trying to solve business problems through IoT devices and would like to analyze IoT data. IoT enthusiasts, managers, and entrepreneurs who would like to make the most of IoT will find this equally useful. A prior knowledge of IoT would be helpful but is not necessary. Some prior programming experience would be useful What You Will Learn - Overcome the challenges IoT data brings to analytics - Understand the variety of transmission protocols for IoT along with their strengths and weaknesses - Learn how data flows from the IoT device to the final data set - Develop techniques to wring value from IoT data - Apply geospatial analytics to IoT data - Use machine learning as a predictive method on IoT data - Implement best strategies to get the most from IoT analytics - Master the economics of IoT analytics in order to optimize business value In Detail We start with the perplexing task of extracting value from huge amounts of barely intelligible data. The data takes a convoluted route just to be on the servers for analysis, but insights can emerge through visualization and statistical modeling techniques. You will learn to extract value from IoT big data using multiple analytic techniques. Next we review how IoT devices generate data and how the information travels over networks. You'll get to know strategies to collect and store the data to optimize the potential for analytics, and strategies to handle data quality concerns. Cloud resources are a great match for IoT analytics, so Amazon Web Services, Microsoft Azure, and PTC ThingWorx are reviewed in detail next. Geospatial analytics is then introduced as a way to leverage location information. Combining IoT data with environmental data is also discussed as a way to enhance predictive capability. We'll also review the economics of IoT analytics and you'll discover ways to optimize business value. By the end of the book, you'll know how to handle scale for both data storage and analytics, how Apache Spark can be leveraged to handle scalability, and how R and Python can be used for analytic modeling. Style and approach This book follows a step-by-step, practical approach to combine the power of analytics and IoT and help you get results quicklyWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Analytics for the Internet of Things (Iot). To get started finding Analytics for the Internet of Things (Iot), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: 378

Format: PDF, EPUB & Kindle Edition

Publisher: Packt Publishing

Release: 2017

ISBN: 1787127575

Description: Break through the hype and learn how to extract actionable intelligence from the flood of IoT data About This Book - Make better business decisions and acquire greater control of your IoT infrastructure - Learn techniques to solve unique problems associated with IoT and examine and analyze data from your IoT devices - Uncover the business potential generated by data from IoT devices and bring down business costs Who This Book Is For This book targets developers, IoT professionals, and those in the field of data science who are trying to solve business problems through IoT devices and would like to analyze IoT data. IoT enthusiasts, managers, and entrepreneurs who would like to make the most of IoT will find this equally useful. A prior knowledge of IoT would be helpful but is not necessary. Some prior programming experience would be useful What You Will Learn - Overcome the challenges IoT data brings to analytics - Understand the variety of transmission protocols for IoT along with their strengths and weaknesses - Learn how data flows from the IoT device to the final data set - Develop techniques to wring value from IoT data - Apply geospatial analytics to IoT data - Use machine learning as a predictive method on IoT data - Implement best strategies to get the most from IoT analytics - Master the economics of IoT analytics in order to optimize business value In Detail We start with the perplexing task of extracting value from huge amounts of barely intelligible data. The data takes a convoluted route just to be on the servers for analysis, but insights can emerge through visualization and statistical modeling techniques. You will learn to extract value from IoT big data using multiple analytic techniques. Next we review how IoT devices generate data and how the information travels over networks. You'll get to know strategies to collect and store the data to optimize the potential for analytics, and strategies to handle data quality concerns. Cloud resources are a great match for IoT analytics, so Amazon Web Services, Microsoft Azure, and PTC ThingWorx are reviewed in detail next. Geospatial analytics is then introduced as a way to leverage location information. Combining IoT data with environmental data is also discussed as a way to enhance predictive capability. We'll also review the economics of IoT analytics and you'll discover ways to optimize business value. By the end of the book, you'll know how to handle scale for both data storage and analytics, how Apache Spark can be leveraged to handle scalability, and how R and Python can be used for analytic modeling. Style and approach This book follows a step-by-step, practical approach to combine the power of analytics and IoT and help you get results quicklyWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Analytics for the Internet of Things (Iot). To get started finding Analytics for the Internet of Things (Iot), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Special Offer | $0.00

Special Offer! | $0.00

Analytics for the Internet of Things (Iot)

Analytics for the Internet of Things (Iot)

More Books

Analytics for the Internet of Things (IoT): Intelligent analytics for your intelligent devices

Analytics for the Internet of Things (IoT): Intelligent analytics for your intelligent devices

Environmental Ethics: An Anthology (Blackwell Philosophy Anthologies)

Environmental Ethics: An Anthology (Blackwell Philosophy Anthologies)

GASPP: A Gay Anthology of Singaporean Poetry and Prose

GASPP: A Gay Anthology of Singaporean Poetry and Prose

The Best Australian Poems 2017

The Best Australian Poems 2017

The Best Australian Poems 2012

The Best Australian Poems 2012

Democracy and the Claims of Nature: Critical Perspectives for a New Century

Democracy and the Claims of Nature: Critical Perspectives for a New Century

The Tragedy of Hamlet

The Tragedy of Hamlet

Wildwood Whispers

Wildwood Whispers

Functions and Applications 11

Functions and Applications 11