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Building large scale data ingestion solutions for Azure SQL using Azure databricks - Part 1

ankitbko.github.io · published 1 September 2020

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https://github.com/microsoft/sql-spark-connector

github.com

https://github.com/Azure/azure-sqldb-spark

github.com

https://github.com/microsoft/sql-spark-connector/releases

github.com

https://github.com/microsoft/sql-spark-connector/tree/c787e8ff854eb356c31092c9815e3a43617d9b4f

github.com

https://github.com/ankitbko/sql-spark-connector-sample/blob/master/sql/create_table.sql

github.com

https://docs.databricks.com/data/data-sources/azure/azure-datalake-gen2.html

docs.databricks.com

http://www.tpc.org/tpcds/default5.asp

tpc.org

https://github.com/ankitbko/sql-spark-connector-sample/blob/master/notebooks/00-export-parquet-sql.ipynb

github.com

https://github.com/microsoft/sql-spark-connector/issues/5

github.com

https://docs.microsoft.com/en-us/sql/t-sql/queries/hints-transact-sql-table?view=sql-server-ver15

docs.microsoft.com

https://spark.apache.org/docs/2.4.5/job-scheduling.html

spark.apache.org