Apache Spark SSIS Components

SSIS Data Flow Components for Apache Spark

Powerful SSIS Components that allows you to easily connect SQL Server with Apache Spark through SSIS Workflows.

Use the Spark Data Flow Components to synchronize with Apache Spark data. Perfect for data synchronization, local back-ups, workflow automation, and more!

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Spark SSIS Data Flow
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Use Apache Spark SSIS Components to:

  • Synchronize SQL Server and Apache Spark SQL for seamless back-office integration.
  • Automate integration processes like mass imports / updates, data cleansing, and de-duplication.
  • Offload queries from operational systems to reduce load and increase performance.
  • Connect Apache Spark SQL to analytics for BI and decision support.
  • Archive business data for disaster recovery.

Straightforward SQL Server Integration

Use CData Data Flow Tasks to connect SQL Server with Apache Spark SQL without expensive custom integration or application development.

  • Use SQL Server Integration Services and Apache Spark SSIS Components to easily connect and synchronize SQL Server with Apache Spark SQL data.
  • Full Create, Read, Update, and Delete (CRUD) support.
  • Straightforward integration, no custom development required!