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Index
Time Series Databases
Preface
In This Book
1. Time Series Data: Why Collect It?
Time Series Data Is an Old Idea
Time Series Data Sets Reveal Trends
A New Look at Time Series Databases
2. A New World for Time Series Databases
Stock Trading and Time Series Data
Making Sense of Sensors
Talking to Towers: Time Series and Telecom
Data Center Monitoring
Environmental Monitoring: Satellites, Robots, and More
The Questions to Be Asked
3. Storing and Processing Time Series Data
Simplest Data Store: Flat Files
Moving Up to a Real Database: But Will RDBMS Suffice?
NoSQL Database with Wide Tables
NoSQL Database with Hybrid Design
Going One Step Further: The Direct Blob Insertion Design
Why Relational Databases Aren’t Quite Right
Hybrid Design: Where Can I Get One?
4. Practical Time Series Tools
Introduction to Open TSDB: Benefits and Limitations
Architecture of Open TSDB
Value Added: Direct Blob Loading for High Performance
A New Twist: Rapid Loading of Historical Data
Summary of Open Source Extensions to Open TSDB for Direct Blob Loading
Accessing Data with Open TSDB
Working on a Higher Level
Accessing Open TSDB Data Using SQL-on-Hadoop Tools
Using Apache Spark SQL
Why Not Apache Hive?
Adding Grafana or Metrilyx for Nicer Dashboards
Possible Future Extensions to Open TSDB
Cache Coherency Through Restart Logs
5. Solving a Problem You Didn’t Know You Had
The Need for Rapid Loading of Test Data
Using Blob Loader for Direct Insertion into the Storage Tier
6. Time Series Data in Practical Machine Learning
Predictive Maintenance Scheduling
7. Advanced Topics for Time Series Databases
Stationary Data
Wandering Sources
Space-Filling Curves
8. What’s Next?
A New Frontier: TSDBs, Internet of Things, and More
New Options for Very High-Performance TSDBs
Looking to the Future
A. Resources
Tools for Working with NoSQL Time Series Databases
More Information About Use Cases Mentioned in This Book
Additional O’Reilly Publications by Dunning and Friedman
About the Authors
Colophon
Copyright
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