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LEADER 00000uam a2200409 a 4500 
003    CaSebORM 
005    20190515144024.1 
006    m        u         
007    cr cn          
008    170801s2017    xx      o           eng   
019    SAFARI9781787120730 
020    |z9781787120730 
020    |z9781787127579 
024 8  9781787120730 
035    (Safari)9781787120730 
041 0  eng 
100 1  Minteer, Andrew,|eauthor. 
245 10 Analytics for the Internet of Things (IoT)|h[electronic 
       resource] /|cMinteer, Andrew. 
250    1st edition 
264  1 |bPackt Publishing,|c2017. 
300    378 p. 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    text file 
520    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... 
533    Electronic reproduction.|bBoston, MA :|cSafari,|nAvailable
       via World Wide Web. 
538    Mode of access: World Wide Web. 
542    |fCopyright © Packt Publishing 
550    Made available through: Safari, an O’Reilly Media Company.
655  7 Electronic books.|2local 
710 2  Safari, an O’Reilly Media Company. 
830  0 Safari Books Online 
856 40 |uhttps://ezp.lib.unimelb.edu.au/login?url=https://
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