#bbuzz: First Steps with Apache Beam: Writing Portable Pipelines using Java, Python, Go
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| Title | #bbuzz: First Steps with Apache Beam: Writing Portable Pipelines using Java, Python, Go |
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| Number of Parts | 48 |
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| License | You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor. |
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| Abstract | Apache Beam is an open source unified model for defining data processing pipelines (Batch and strEAM), which allows you to write your pipeline in your language of choice and run it with minimal effort on the execution engine (ex: Apache Spark, Apache Flink, Google Cloud Dataflow) of choice. In this practical session we will get hands-on writing Beam pipelines, and as well as discuss the fundamentals of Beam programming model, and SDKs (Python, Go, Java).
Prerequisites
You will need to install IntelliJ IDEA and/or PyCharm with the EduTools plugin, and with the kata(s) installed in the language of their choice to work through exercises in the online platform. |
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