Time Series Data¶

Learn how to use CrateDB for time series use cases.

CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.

Fundamentals

Basic introductory tutorials about using CrateDB with time series data.

What’s inside: Getting Started, Downsampling and Interpolation, Operations: Sharding and Partitioning.

Time series fundamentals with CrateDB

Advanced

Advanced time series data analysis with CrateDB.

What’s inside: Exploratory data analysis (EDA), time series decomposition, anomaly detection, forecasting.

About time series analysis

Video Tutorials

Educational videos about time series data and CrateDB.

What’s inside: Time series introduction. Importing, exporting, and analyzing. Industrial applications.

Video tutorials about time series with CrateDB

Academy » Advanced Time Series

CrateDB Academy is a learning hub dedicated to empowering data enthusiasts with the tools and knowledge to harness the power of CrateDB.

What’s inside: Data manipulation and visualization. Data Storage. Importing. Machine Learning on Time Series Data: EDA, Decomposition, AutoML.

Academy Resources: Advanced Time Series

Long Term Storage

Run efficient data operations for current and historical time series data.

What’s inside: Time-based bucketing. Import data using Dask. Optimizing storage for historic time series data.

About storing time series data for the long term