We've created a host of code-focused tutorials that will help you get
started with TimescaleDB.
Most of these tutorials require a working installation of TimescaleDB.
Common scenarios for using TimescaleDB
- Time-series Forecasting: Use R, Apache MADlib and Python to perform
data analysis and make forecasts on your data.
- Analyze Cryptocurrency Data: Use TimescaleDB to analyze historic cryptocurrency data. Learn how to build your own schema, ingest data, and analyze information in TimescaleDB.
Integrating with Grafana
- Sample data sets: And if you want to explore on your own
with some sample data, we have some ready-made data sets for you to explore.
- Simulate IoT Sensor Data: Simulate a basic IoT sensor dataset
on PostgreSQL or TimescaleDB.
- psql installation:
psql is a terminal-based front-end for PostgreSQL.
Learn how to install
psql on Mac, Ubuntu, Debian, Windows,
and pick up some valuable
psql tips and tricks along the way.
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