With IoT data flooding into your cloud environment and after processing and transforming it, the next problem to solve is how to store it. The solution should support holding large datasets and be easy to interact with for analytics.
Applying big data technology to storage
by Andrew Minteer
Analytics for the Internet of Things (IoT)
- Preface
- Defining IoT Analytics and Challenges
- IoT Devices and Networking Protocols
- IoT devices
- Networking basics
- IoT networking connectivity protocols
- IoT networking data messaging protocols
- Analyzing data to infer protocol and device characteristics
- Summary
- IoT Analytics for the Cloud
- Creating an AWS Cloud Analytics Environment
- Collecting All That Data - Strategies and Techniques
- Getting to Know Your Data - Exploring IoT Data
- Exploring and visualizing data
- Look for attributes that might have predictive value
- R (the pirate's language...if he was a statistician)
- Summing it all up
- Solving industry-specific analysis problems
- Summary
- Decorating Your Data - Adding External Datasets to Innovate
- Communicating with Others - Visualization and Dashboarding
- Applying Geospatial Analytics to IoT Data
- Data Science for IoT Analytics
- Machine learning (ML)
- Anomaly detection using R
- Forecasting using ARIMA
- Deep learning
- Summary
- Strategies to Organize Data for Analytics
- The Economics of IoT Analytics
- Bringing It All Together
Applying big data technology to storage
-
No Comment
..................Content has been hidden....................
You can't read the all page of ebook, please click here login for view all page.