关于“使用 Dataflow 為即時資訊主頁建立串流資料 pipeline”的评价

Pooja S. · 评论29 days之前

LAZARO ROBERT DA SILVA C. · 评论29 days之前

Mayuran G. · 评论29 days之前

Clodoaldo P. · 评论29 days之前

Agam A. · 评论29 days之前

nono

สุภาวดี ว. · 评论29 days之前

nice

Adesh A. · 评论29 days之前

Naresh Kumar P. · 评论29 days之前

murthy n. · 评论29 days之前

วรรณษา จ. · 评论29 days之前

วรรณษา จ. · 评论29 days之前

Reethu P. · 评论29 days之前

Chadurya J. · 评论29 days之前

I was unable to use the resources, then I found a workaround, but I ran out of time because of that

Reka S. · 评论29 days之前

Mansi S. · 评论29 days之前

Theerapat S. · 评论29 days之前

นภาไร บ. · 评论29 days之前

Yashitha L. · 评论29 days之前

ภัทรพล ด. · 评论29 days之前

Should have included live update of data to show the real-time processing using Dataflow

Sriram N. · 评论29 days之前

Tan H. · 评论29 days之前

Anshum .. · 评论29 days之前

Athira K. · 评论29 days之前

It doesn't feel like we 'streamed' data, rather just imported a batch once. the lab could be enhanced by immitating 'streaming' by adding new data by copying another CSV to GCS bucket later, and letting the data flow pipeline process it, and looker to update based on the new dataset

Peter K. · 评论29 days之前

Jimena G. · 评论29 days之前