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update README.md
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danielgafni committed Jun 29, 2023
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- inherits all the features of the `UPathIOManager` - works with local and remote filesystems (like S3),
supports loading multiple partitions (use `dict[str, pl.DataFrame]` type annotation), ...
- Implemented serialization formats:
- `PolarsParquetIOManager` - for reading and writing files in Apache Parquet format. Supports reading partitioned Parquet datasets (for example, often produced by Spark).
- `PolarsDeltaIOManager` - for reading and writing Delta Lake.
- `PolarsParquetIOManager` - for reading and writing files in Apache Parquet format. Supports reading partitioned Parquet datasets (for example, often produced by Spark). All read/write options can be set via metadata values.
- `PolarsDeltaIOManager` - for reading and writing Delta Lake. All read/write options can be set via metadata values.
- `BigQueryPolarsIOManager` - for reading and writing data from/to [BigQuery](https://cloud.google.com/bigquery). Supports writing partitioned tables (`"partition_expr"` input metadata key must be specified). Extra dependencies can be installed with `pip install 'dagster-polars[gcp]'`.

## Quickstart
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