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Fix README-template (GoogleCloudDataproc#947)
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davidrabinowitz authored Apr 10, 2023
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The connector supports reading [Google BigQuery](https://cloud.google.com/bigquery/) tables into Spark's DataFrames, and writing DataFrames back into BigQuery.
This is done by using the [Spark SQL Data Source API](https://spark.apache.org/docs/latest/sql-programming-guide.html#data-sources) to communicate with BigQuery.

## Unreleased Changes

This Readme may include documentation for changes that haven't been released yet. The latest release's documentation and source code are found here.

https://github.com/GoogleCloudDataproc/spark-bigquery-connector/blob/master/README.md

## BigQuery Storage API
The [Storage API](https://cloud.google.com/bigquery/docs/reference/storage) streams data in parallel directly from BigQuery via gRPC without using Google Cloud Storage as an intermediary.

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