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Gcp open jupyterlab 504 error3/26/2023 ![]() ![]() At a high-level, this translates to significantly improved performance, especially on larger data sets. It supports data reads and writes in parallel as well as different serialization formats such as Apache Avro and Apache Arrow. The BigQuery Storage API brings significant improvements to accessing data in BigQuery by using a RPC-based protocol. In this notebook, you will use the spark-bigquery-connector which is a tool for reading and writing data between BigQuery and Spark making use of the BigQuery Storage API. Right click on the notebook name in the sidebar on the left or the top navigation and rename the notebook to "BigQuery Storage
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