Set Up and Run Data Pipelines

How to get the most out of the StreamSets data integration platform.

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Run Your First Pipeline in Minutes

All the DataOps functionality our users love is now available in a fully managed, cloud-native platform. 

  1. Log in to StreamSets.
  2. Launch a deployment with a Data Collector or Transformer engine.
  3. Build a pipeline by defining endpoints and processing requirements.
  4. Define and configure a job to run your first pipeline.
  5. Monitor the health and performance of your job, and system consumption.
How StreamSets DataOps Platform Works
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Grab the Starter’s Guide

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Set Up a Deployment

Set Up Data Pipeline Engines
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How to launch a deployment and define your StreamSets engine, version, and configuration.

Build a Data Pipeline

How To Build A Data Pipeline Video
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Easy as 1-2-3, just drag and drop commonly used endpoints and pre-built processors.

Run a Job

Run A Job In StreamSets DataOps Platform
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Ready, set, go! Preview your pipeline and configure a job to start processing.

Monitor a Job

Monitor A Data Integration Job On StreamSets DataOps Platform
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What happened? Check the status, monitor and troubleshoot jobs.

More Demos

Looking for more demos? Subscribe to SteamSets Live! In these monthly 45 min sessions, see live demos of StreamSets DataOps Platform.

Connect With an Expert

We’re continuing to develop all the high quality tutorials, sample pipelines, and 5-star documentation you have come to expect from StreamSets. Need one-on-one help.

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From Greenbelt to Blackbelt

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