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Using SQL Server as a backup for critical business data provides an essential safety net against loss. Backing up data to SQL Server enables business users to more easily connect that data with features like reporting, analytics, and more.
This example demonstrates how to use the CData SSIS Tasks for Impala inside of a SQL Server SSIS workflow to transfer Impala data into a Microsoft SQL Server database.
To get started, add a new Impala source and SQL Server ADO.NET destination to a new data flow task.
๐ The Data Flow task used in this example. (Salesforce is shown.)Follow the steps below to save Impala connection properties in a connection manager.
In order to connect to Apache Impala, set the Server, Port, and ProtocolVersion. You may optionally specify a default Database. To connect using alternative methods, such as NOSASL, LDAP, or Kerberos, refer to the online Help documentation.
๐ Configuring a connection (Salesforce is shown).Follow the steps below to specify the query to be used to extract Impala data.
SELECT City, CompanyName FROM Customers WHERE Country = 'US'๐ The SQL query to retrieve records. (Salesforce is shown.)
Follow the steps below to specify the SQL server table to load the Impala data into.
You can now run the project. After the SSIS Task has finished executing, your database will be populated with Impala data.
๐ The completed import. (Salesforce is shown.)Download a free trial of the Impala SSIS Component to get started:
Download NowLearn more:
๐ Apache Impala IconPowerful SSIS Source & Destination Components that allows you to easily connect SQL Server with Impala through SSIS Workflows.
Use the Impala Data Flow Components to synchronize with Impala data, and more. Perfect for data synchronization, local back-ups, workflow automation, and more!