I'm trying to connect from a Fabric notebook using PySpark to a Fabric SQL Database via JDBC. I have the connection code skeleton but I'm unsure where to find the correct JDBC hostname and database name values to build the connection string. From the Azure Portal, I found these possible connection details: Hostname: hit42n7mdsxgfsduxifea5jkpru-cxxbuh5gkjsllp42x2mebvpgzm.database.fabric.microsoft.com:1433 Database: db_gold-333da4e5-5b90-459a-b455-e09dg8ac754c When trying to connect using Active Directory authentication with my Azure AD user, I get: Failed to authenticate the user name.surname@company.com in Active Directory (Authentication=ActiveDirectoryInteractive). If I skip authentication, I get: An error occurred while calling o6607.jdbc. : com.microsoft.sqlserver.jdbc.SQLServerException: Cannot open server "company.com" requested by the login. The login failed. My JDBC connection strings tried: jdbc:sqlserver://hit42n7mdsxgfsduxifea5jkpru-cxxbuh5gkjsllp42x2mebvpgzm.database.fabric.microsoft.com:1433;database=db_gold-333da4e5-5b90-459a-b455-e09dg8ac754c;encrypt=true;trustServerCertificate=false;hostNameInCertificate=*.database.windows.net;loginTimeout=60; jdbc:sqlserver://hit42n7mdsxgfsduxifea5jkpru-cxxbuh5gkjsllp42x2mebvpgzm.database.fabric.microsoft.com:1433;database=db_gold-333da4e5-5b90-459a-b455-e09dg8ac754c;encrypt=true;trustServerCertificate=false;authentication=ActiveDirectoryInteractive I also provided username and password parameters in the connection properties. I understand these should be my Azure AD credentials, and the user must have appropriate permissions on the database. My full code: jdbc_url = ("jdbc:sqlserver://hit42n7mdsxgfsduxifea5jkpru-cxxbuh5gkjsllp42x2mebvpgzm.database.fabric.microsoft.com:1433;database=db_gold-333da4e5-5b90-459a-b455-e09dg8ac754c;encrypt=true;trustServerCertificate=false;hostNameInCertificate=*.database.windows.net;loginTimeout=60;") connection_properties = { "user": "name.surname@company.com", "password": "xxxxx", "driver": "com.microsoft.sqlserver.jdbc.SQLServerDriver" } def write_df_to_sql_db(df, trg_tbl_name='dbo.final'): spark_df = spark.createDataFrame(df_swp) spark_df.write \ .jdbc( url=jdbc_url, table=trg_tbl_name, mode="overwrite", properties=connection_properties ) return True write_df_to_sql_db(df) Have you tried to connect to SQL db and got same problems? I'm not sure if my conn string is ok, maybe I've overlooked something. Continue reading...