关于“Serverless Data Processing with Dataflow - Writing an ETL pipeline using Apache Beam and Dataflow (Java)”的评价

关于“Serverless Data Processing with Dataflow - Writing an ETL pipeline using Apache Beam and Dataflow (Java)”的评价

评论

Rahul H. · 评论over 3 years之前

Ionel M. · 评论over 3 years之前

Clicking on the console.cloud.google.com/dataflow/ link got me into trouble, because I wound up in a browser window for a different account and project. I didn't notice this until my dataflow parameterized job failed. Also, I followed the instructions for creating a schema.json file in Cloud Storage, but can't get the points for this step. Since I was able to see the file in Cloud Storage, and ultimately able to run the Dataflow job, I'm assuming that I did in fact successfully create the schema.json.

David V. · 评论over 3 years之前

Sachin M. · 评论over 3 years之前

ran out of time

Tony G. · 评论over 3 years之前

Tony M. · 评论over 3 years之前

Bharat M. · 评论over 3 years之前

Florian R. · 评论over 3 years之前

terrible lab

Piyush P. · 评论over 3 years之前

getting error [ERROR] Failed to execute goal org.codehaus.mojo:exec-maven-plugin:3.0.0:java (default-cli) on project advanced-dataflow-lab-1-lab: An exception occured while executing the Java class. BigQueryIO.Write needs a GCS temp location to store temp files. -

Olga K. · 评论over 3 years之前

I want Python, if available.

Steve V. · 评论over 3 years之前

Lakshman G. · 评论over 3 years之前

David V. · 评论over 3 years之前

IDE can't paste text so I had to write on local and upload to IDE

Zulayman Z. · 评论over 3 years之前

Luciano S. · 评论over 3 years之前

Luciano S. · 评论over 3 years之前

Gaurangkumar S. · 评论over 3 years之前

Daryl E. · 评论over 3 years之前

Daryl E. · 评论over 3 years之前

Daryl E. · 评论over 3 years之前

Too slow to load the artifacts. Time should be increased to 2.5hrs.

Sudeshna D. · 评论over 3 years之前

Eire F. · 评论over 3 years之前

Very satisfied

Emilien H. · 评论over 3 years之前

I really enjoyed this lab, thanks.

Juan P. · 评论over 3 years之前

Fun but failed. The "Create json schema file" check did not succeed, although the file was there. I took my time to write the code, but could not complete the final check, because the streaming job had not finished after 15 minutes. Also, fix the typo ("langauge")

Hubert S. · 评论over 3 years之前

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