The Timeseries Refinery#
The Timeseries Refinery is a tool that :
Store versioned timeseries data (time travel capacity), provide fine-tuned backtesting capacity, ease data monitoring
Centralize data from various sources: internal data silos - external APIs Data queries on the fly or scraped on schedule
Automate data processes (ETL, predictions, computations, sanity checks, …)
Aggregate and transform timeseries with formulas
Build a common catalog -> shared (high level, cured) data referential
Content
- Getting Started
- Installation
- Package overview
- Working with the Refinery
- Basics
- General setup reminder
- How to create / update / read “primary” time series
- How to Exists / Rename / Delete time series
- Going further: playing with revisions
- Adding and fetching metadata
- Using formulas : create a formula
- Similarities and differences with primary series
- Using the formula editor
- Seeing all the formulas
- Create a time series information system
- To the next level
- Doing your own app using the Refinery
- Data acquisition: a structured path
- Performance aspects: stored time series and formulas
- Formulas: when to use a cache/materialized view
- How to cache formulas
- Tasks system: how to organize and schedule tasks
- Data architecture at scale: putting the Data Mesh to work
- Basics
- Fundamental blocks
- API documentation