White Paper
Guide for Time Series Data Projects
Part 1: Data Modeling, Storage, and Lifecycle with CrateDB
This comprehensive guide divided into 3 parts covers everything you need to know to get started with a time series data project:
- Part 1 below gives you a deeper understanding of what time series data is, what common data challenges you can face with the four V's (volume, velocity, variety, and veracity), and how to tackle them. The guide also covers the key CrateDB functionalities for time series data management and explains some best practices for your partitioning and sharding strategy.
- Part 2 explains ingestion, indexing, analysis, and optimization.
- Part 3 goes through time series data visualization and advanced analysis through machine learning.
About CrateDB
CrateDB is an open source, multi-model, and distributed database that offers high performance, scalability and flexibility. It is the perfect fit for a time series database, allowing you to query data in milliseconds, leverage the simplicity of SQL, combine multiple data types, handle high ingest rates, and store years of historical data.