# Data (/features/data)

Bring market data into a research workflow, whether it comes from a remote provider, a local file,
or a database. These pages cover data sources, storage and querying, and the transformations that
prepare data for indicators, backtests, and analysis.

*   [Market data sources](/features/data/market-data-sources): Retrieve market data from specialized providers through a consistent Python interface
*   [Data storage and databases](/features/data/data-storage-and-databases): Cache, query, save, and update market data across local files and databases
*   [Financial data pipelines](/features/data/financial-data-pipelines): Transform, merge, parallelize, and generate analysis-ready financial data

## Start here \[#start-here]

Use the [Data documentation](/documentation/data/) to learn how VBT represents, retrieves, updates,
and manages market data.