• Standardize the way that plugin module loading works. DataContext will begin to use the new-style class and plugin identification moving forward; yml configs should specify class_name and module_name (with module_name optional for GE types). For now, it is possible to use the "type" parameter in configuration (as before).
• Add support for custom data_asset_type to all datasources
• Add support for strict_min and strict_max to inequality-based expectations to allow strict inequality checks
  (thanks @RoyalTS!)
• Add support for reader_method = "delta" to SparkDFDatasource
• Fix databricks generator (thanks @sspitz3!)
• Improve performance of DataContext loading by moving optional import
• Fix several memory and performance issues in SparkDFDataset.
  • Use only distinct value count instead of bringing values to driver
  • Migrate away from UDF for set membership, nullity, and regex expectations
• Fix several UI issues in the data_documentation
  • Move prescriptive dataset expectations to Overview section
  • Fix broken link on Home breadcrumb
  • Scroll follows navigation properly
  • Improved flow for long items in value_set
  • Improved testing for ValidationRenderer
  • Clarify dependencies introduced in documentation sites
  • Improve testing and documentation for site_builder, including run_id filter
  • Fix missing header in Index page and cut-off tooltip
  • Add run_id to path for validation files