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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 Hive inside of a SQL Server SSIS workflow to transfer Hive data into a Microsoft SQL Server database.
To get started, add a new Hive 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 Hive connection properties in a connection manager.
Follow the steps below to specify the query to be used to extract Hive data.
SELECT City, CompanyName FROM Customers๐ The SQL query to retrieve records. (Salesforce is shown.)
Follow the steps below to specify the SQL server table to load the Hive data into.
You can now run the project. After the SSIS Task has finished executing, your database will be populated with Hive data.
๐ The completed import. (Salesforce is shown.)Download a free trial of the Apache Hive SSIS Component to get started:
Download NowLearn more:
๐ Apache Hive IconPowerful SSIS Components that allows you to easily connect SQL Server with Apache Hive-compatible distributions through SSIS Workflows.
Use the Hive Data Flow Components to synchronize with Apache Hive. Perfect for data synchronization, local back-ups, workflow automation, and more!