Analytics for the internet of things (IoT) : (Record no. 39502)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03392nam a22002057a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 190404b2017 xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781787120730 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 004.678 MIN-A |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Minteer, Andrew |
| 245 ## - TITLE STATEMENT | |
| Title | Analytics for the internet of things (IoT) : |
| Remainder of title | intelligent analytics for your intelligent devices / |
| Statement of responsibility, etc. | Andrew Minteer |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | India |
| Name of publisher, distributor, etc. | Packt Publishing |
| Date of publication, distribution, etc. | 2017 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 357 p. |
| 365 ## - TRADE PRICE | |
| Price type code | INR |
| Price amount | 999.00. |
| 500 ## - GENERAL NOTE | |
| General note | Break through the hype and learn how to extract actionable intelligence from the flood of IoT data<br/><br/>Key Features<br/>Make better business decisions and acquire greater control of your IoT infrastructure<br/>Learn techniques to solve unique problems associated with IoT and examine and analyze data from your IoT devices<br/>Uncover the business potential generated by data from IoT devices and bring down business costs<br/>Book Description<br/>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.<br/><br/>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.<br/><br/>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.<br/><br/>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.<br/><br/>What You Will Learn<br/>Overcome the challenges IoT data brings to analytics<br/>Understand the variety of transmission protocols for IoT along with their strengths and weaknesses<br/>Learn how data flows from the IoT device to the final data set<br/>Develop techniques to wring value from IoT data<br/>Apply geospatial analytics to IoT data<br/>Use machine learning as a predictive method on IoT data<br/>Implement best strategies to get the most from IoT analytics<br/>Master the economics of IoT analytics in order to optimize business value<br/>Table of Contents<br/>Defining IoT Analytics and Challenges<br/>IoT Devices and Networking Protocols<br/>IoT Analytics for the Cloud<br/>Creating an AWS Cloud Analytics Environment<br/>Collecting All That Data - Strategies and Techniques<br/>Getting to Know Your Data - Exploring IoT Data<br/>Decorating Your Data - Adding External Datasets to Innovate<br/>Communicating with Others - Visualization and Dashboarding<br/>Applying Geospatial Analytics to IoT Data<br/>Data Science for IoT Analytics<br/>Strategies to Organize Data for Analytics<br/>The Economics of IoT Analytics<br/>Bringing It All Together |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Internet of things |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Mobile computing |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Information visualization |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data mining |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Embedded Internet devices |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
| Withdrawn status | |
| Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Cost, normal purchase price | Total Checkouts | Total Renewals | Full call number | Barcode | Date last seen | Date last checked out | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | 003-007 | BITS Pilani Hyderabad | BITS Pilani Hyderabad | General Stack (For lending) | 04/04/2019 | 999.00 | 2 | 3 | 004.678 MIN-A | 38173 | 26/07/2023 | 03/04/2021 | 04/04/2019 | Books |
