Dataflow in a minute

The source names neither its presenter nor an affiliation. This 2020 primer presents Dataflow as managed execution for Apache Beam batch and streaming pipelines.

Key Points Covered

• The pipeline model is source, transforms, and sink: Worker virtual machines execute the job while Dataflow automates infrastructure provisioning and worker scaling [00:00:00].
• Portability belongs to the Beam pipeline model: The presenter connects portability to pipelines created with open-source Apache Beam libraries; that does not make every runner behavior, dependency, configuration, or operational choice portable [00:00:00]-[00:00:55].
• Several authoring paths were available in 2020: The primer lists custom code, templates, SQL, the console, CLI, APIs, and then-current notebook branding [00:00:55].

Use this as historical processing-service orientation, not pipeline implementation guidance. Check current Beam support, runner semantics, templates, worker options, streaming behavior, quotas, limits, and pricing in current documentation.

Full video: https://www.youtube.com/watch?v=XdsuDOQ9nkU(opens in a new tab)