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Seeking a StreamSets specialist to build and optimize our data pipeline infrastructure - need assistance with pipeline design using Data Collector, real-time streaming from Kafka/databases to cloud warehouses, data transformation and validation rules, error handling and monitoring setup, Control Hub deployment for pipeline management, CDC implementation for database replication, API integrations with enterprise systems, and performance tuning for high-volume data processing. Requirements include proven StreamSets platform experience, knowledge of big data technologies and streaming architectures, understanding of data governance and lineage tracking, SQL and scripting skills for custom processors. Please demonstrate previous StreamSets implementations and data volume handled in your response.
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Hi team,how to add new stages to an existing pipelines using streamsets python SDK?
I am looking to remove a stage from a pipeline and then republish it. Does anyone have experience doing this? Here is some sample code:pipeline = control_hub.pipeline.get(name = pipeline_name)stages = pipeline.stagesstage = stages.get(instance_name="HiveMetastore_1")stages.remove(stage) This successfully removes the stage from the ‘stages’ list object, but if I were to run pipeline.stages again, the stage I thought I removed is still there.
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Good evening everyone, I am new to streamsets, is there any available badges for streamsets platform?
Recently while troubleshooting an issue with tech support I lamented about not being able to watch the data stream being processed in real-time as it would have been incredibly helpful. Realizing it could be helpful in just testing when building a pipeline, too, I thought I’d suggest it.Is there a platform to suggest ideas to StreamSets? If not already suggested or in the pipeline (pun intended) then how do others in the community feel about this?
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