Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion Reviews

the total disk gb quota was too low so I had an error when I was running the pipeline. I searched on stackoverflow and found a solution but this lab does not work properly anymore

Zach B. · Reviewed أكثر من 3 سنوات ago

Phil G. · Reviewed أكثر من 3 سنوات ago

Vitaliya M. · Reviewed أكثر من 3 سنوات ago

G S. · Reviewed أكثر من 3 سنوات ago

Aidan H. · Reviewed أكثر من 3 سنوات ago

Muhammed M. · Reviewed أكثر من 3 سنوات ago

I followed the same instruction, but I got 203 errors while the pipeline execute.

Tony C. · Reviewed أكثر من 3 سنوات ago

"Once the BigQuery sink has been placed on the canvas, connect the Wrangler node with the BigQuery node. Do this by dragging the arrow from the Wrangler node to connect to the BigQuery node as illustrated below." - You need to clear this stage that place BigQuery from Sink not from source.

Tony C. · Reviewed أكثر من 3 سنوات ago

Tony C. · Reviewed أكثر من 3 سنوات ago

Iza K. · Reviewed أكثر من 3 سنوات ago

I got there eventually but the bit at the start of "Task 6 Ingestion into BigQuery" was very confusing trying to find my project. I ended up creating a new one but this wasn't clear from the instructions.

Jonathan G. · Reviewed أكثر من 3 سنوات ago

Lou Angeline O. · Reviewed أكثر من 3 سنوات ago

Steve C. · Reviewed أكثر من 3 سنوات ago

Serhii S. · Reviewed أكثر من 3 سنوات ago

Allan F. · Reviewed أكثر من 3 سنوات ago

Dalibor G. · Reviewed أكثر من 3 سنوات ago

Devdoot R. · Reviewed أكثر من 3 سنوات ago

Hamid-Reza K. · Reviewed أكثر من 3 سنوات ago

Hamid-Reza K. · Reviewed أكثر من 3 سنوات ago

DS S. · Reviewed أكثر من 3 سنوات ago

Simona P. · Reviewed أكثر من 3 سنوات ago

Giovanni Daián R. · Reviewed أكثر من 3 سنوات ago

DS S. · Reviewed أكثر من 3 سنوات ago

Samuel J. · Reviewed أكثر من 3 سنوات ago

Its a very technical tool and not as easy to use for non teckies as some others I have used. I created a pipeline without any errors but it failed to run at the end. Disappointing to say the least.

Mark O. · Reviewed أكثر من 3 سنوات ago