- A variety of time series use cases
- The advantages of NoSQL databases for large-scale time series data
- NoSQL table design for high-performance time series databases
- The benefits and limitations of OpenTSDB
- How to access data in OpenTSDB using R, Go, and Ruby
- How time series databases contribute to practical machine learning projects
- How to handle the added complexity of geo-temporal data
For advice on analyzing time series data, check out Practical Machine Learning: A New Look at Anomaly Detection, also from Ted Dunning and Ellen Friedman.
|Publisher:||O'Reilly Media, Incorporated|
|Product dimensions:||5.90(w) x 8.80(h) x 0.40(d)|
About the Author
Ellen Friedman is a solutions consultant and well known speaker and author, currently writing mainly about big data topics. She is a committer for the Apache Mahout project and a contributor to the Apache Drill project. With a PhD in Biochemistry, she has years of experience as a research scientist and has written about a variety of technical topics including molecular biology, nontraditional inheritance, and oceanography. Ellen is also co-author of a book of magic-themed cartoons, A Rabbit Under the Hat. Ellen is on Twitter at @Ellen_Friedman.