[Book Discussion] - Time Series Databases

Discussion created by maprcommunity Employee on Nov 10, 2016



Time Series Databases: New Ways to Store and Access Data
Ted Dunning and Ellen Friedman
Time series data is of growing importance, especially given the rapid expansion of the Internet of Things. This concise guide shows you effective ways to collect, persist, and access large-scale time series data for analysis. You’ll explore the theory behind time series databases and learn practical methods for implementing them.
Authors Ted Dunning and Ellen Friedman provide a detailed examination of open source tools such as OpenTSDB and new modifications that greatly speed up data ingestion.

Read this book to learn more about:
- Different types 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



Add a comment below. What did you think about this book?, What was your favorite part?, What would you like to read next about?

Ellen friedman andTed Dunning are eager to know your thoughts.


Haven't read the book yet?, find it here Time Series Databases: New Ways to Store and Access Data 

See more available books in the  Converge Book Club