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Analytics for the Internet of Things (IoT)

You're reading from   Analytics for the Internet of Things (IoT) Intelligent analytics for your intelligent devices

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787120730
Length 378 pages
Edition 1st Edition
Languages
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Author (1):
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Andrew Minteer Andrew Minteer
Author Profile Icon Andrew Minteer
Andrew Minteer
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Table of Contents (14) Chapters Close

Preface 1. Defining IoT Analytics and Challenges FREE CHAPTER 2. IoT Devices and Networking Protocols 3. IoT Analytics for the Cloud 4. Creating an AWS Cloud Analytics Environment 5. Collecting All That Data - Strategies and Techniques 6. Getting to Know Your Data - Exploring IoT Data 7. Decorating Your Data - Adding External Datasets to Innovate 8. Communicating with Others - Visualization and Dashboarding 9. Applying Geospatial Analytics to IoT Data 10. Data Science for IoT Analytics 11. Strategies to Organize Data for Analytics 12. The Economics of IoT Analytics 13. Bringing It All Together

Managing data lakes

Data lakes are places used to dump tons of potentially valuable data from multiple sources. Some sources will be IoT devices, while some sources will be internal company data such as production, purchasing, or customer service records. The concept is to put all of this variety of data in one place so it can be accessible through a unified interface. In the case of Hadoop, the data lake would be stored in HDFS and probably accessed through Hive or Spark.

When data lakes turn into data swamps

Swamps are formed when water flows into an area where it collects and stagnates. Algae covers over the water. When a data lake has a mass of raw data flowing in but no organization and little usage of it to mix up the...

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