Manage and access data
Connect to Great Expectations (GX) to your data, manage GX's data objects, and retrieve data for use by the GX Python library.
Access data
Connect GX to data stored on filesystems, databases, or in memory. Then tell GX how that data should be organized for retrieval and use.
Connect to filesystem data
Connect GX to data that is stored as one or more files (such as .csv or .parquet files) in a directory style environment .
Connect to in-memory data
Connect GX to data to data that has been read into memory with pandas or Spark.
Connect to SQL database data
Connect GX to data stored in SQL databases, with support for some specific SQL dialects.
Request data
Request data from a previously defined Data Source and Data Asset.
Manage GX's data objects
Retrieve, view, and delete GX's data objects, or use them to retrieve data for use within GX.
Manage Data Sources
Manage the objects that connect GX to your data.
Manage Data Assets
Manage the objects that tell GX which sets of records are relevant to your use cases.
Manage Batch Requests
Manage the objects that retrieve data from a Data Asset.
Manage Batches
Manage the objects that represent your retrieved data.