Data Flow Pipeline

MindTelligent has helped a broad spectrum of large business to build Data Flow Pipelines from start to finish. Our customers can benefit from MindTelligent Data Flow Framework, to construct Data Flow Pipelines.

A pipeline consists of a set of operations that can read a source of input data, transform that data, and write out the resulting output. The data and transforms in a pipeline are unique to, and owned by, that pipeline. While your program can create multiple pipelines, pipelines cannot share data or transforms.

• Create a Pipeline objects and Sources.
• Reading Data Into Your Pipeline.
• Applying Transforms to Process Pipeline Data.
• Writing or Outputting Your Final Pipeline Data to multiple sinks and targets.
• Building Cache around frequently used objects in the Pipeline.
• Error Handling/Notification in the event of Data Flow Engine errors.
• Reprocess and rewind data processing on demand.
• Build Realtime or ELT Data flow engines.
• Data Flow Monitoring Platform.
• Data Engine Administration for 99.99% uptime.