关于“Serverless Data Processing with Dataflow - Branching Pipelines (Python)”的评价
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    关于“Serverless Data Processing with Dataflow - Branching Pipelines (Python)”的评价

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    Joaquín T. · 评论over 1 year之前

    "Note: The environment may take 3 - 5 minutes to be fully provisioned. Please wait until the step is complete." The environment took more than 15 minutes. this wait time is a waste of our time. Not once in all the labs of the same type, has this taken 3 - 5 minutes. ------------- I did not learn much from this as I do not know Java and I CANT COMPETE LAB!!!! Why force the user to do the same tasks in different languages? The labs should require completing either Python or Java, not both ----------------- Great you finally used some illustrations to give the students soem idea what they will be doing (i.e. Data flow) ----------- Scroll down to the run() method, where the body of the pipeline is defined. It currently looks as follows: The code sample is not exactly as you listed...

    Don M. · 评论over 1 year之前

    Oscar R. · 评论over 1 year之前

    Aliaksandr L. · 评论over 1 year之前

    Matthaios S. · 评论over 1 year之前

    Alejandra A. · 评论over 1 year之前

    Brian W. · 评论over 1 year之前

    Saravanan M. · 评论over 1 year之前

    Minor time loss due to an error 524. Otherwise, it's great

    Charles L. · 评论over 1 year之前

    Biju N. · 评论over 1 year之前

    The bash commands provided don't seem to work.

    Michael M. · 评论over 1 year之前

    Markus N. · 评论over 1 year之前

    Matías V. · 评论over 1 year之前

    Mohit S. · 评论over 1 year之前

    Selvavignesh V. · 评论over 1 year之前

    Jihad R. · 评论over 1 year之前

    done

    Sonia C. · 评论over 1 year之前

    Pipeline only Works with DataFlow Runner. DirectRunner gives error for exact same solution

    Yannic H. · 评论over 1 year之前

    Joanvi O. · 评论over 1 year之前

    Sai Chandana K. · 评论over 1 year之前

    BARNABAS N. · 评论over 1 year之前

    Anant P. · 评论over 1 year之前

    David K. · 评论over 1 year之前

    Good

    Poojitha S. · 评论over 1 year之前

    Alejandro M. · 评论over 1 year之前

    我们无法确保发布的评价来自已购买或已使用产品的消费者。评价未经 Google 核实。