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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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