Dataware for data-driven transformation

Time Series Databases: New Ways to Store and Access Data

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


Complete the form to receive your copy today!