Serverless Data Processing with Dataflow - Using Dataflow for Streaming Analytics (Python) Reviews
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Serverless Data Processing with Dataflow - Using Dataflow for Streaming Analytics (Python) Reviews

5352 reviews

LUIS RUBÉN O. · Reviewed 6 أشهر ago

DIVYA S. · Reviewed 6 أشهر ago

I couldn't understand very well the "lag" part of the streaming process and its consequences. Creating a chart is not enough.

María Azul L. · Reviewed 6 أشهر ago

1st attempt - Insufficient pool resource to start workers. Cannot complete lab. 2nd attempt - all looks to be running okay but lab does not seem to think everything is complete - but doesn't tell you what it thinks is missing/not done. 3rd attempt - success - but this is wasting a lot of my time having to redo it again

Stephen J. · Reviewed 6 أشهر ago

Stuart B. · Reviewed 6 أشهر ago

Stefano C. · Reviewed 6 أشهر ago

sai sumanth goud e. · Reviewed 6 أشهر ago

Luc V. · Reviewed 6 أشهر ago

Luiz C. · Reviewed 6 أشهر ago

Moises A. · Reviewed 6 أشهر ago

Kishan S. · Reviewed 6 أشهر ago

Marcin C. · Reviewed 6 أشهر ago

Abdullah S. · Reviewed 6 أشهر ago

Yannick Q. · Reviewed 6 أشهر ago

Satyabrata P. · Reviewed 6 أشهر ago

Arif T. · Reviewed 7 أشهر ago

Markus D. · Reviewed 7 أشهر ago

Salvatore S. · Reviewed 7 أشهر ago

Karthick R. · Reviewed 7 أشهر ago

Wojciech O. · Reviewed 7 أشهر ago

Charles C. · Reviewed 7 أشهر ago

Sergey D. · Reviewed 7 أشهر ago

Iole M. · Reviewed 7 أشهر ago

Ranjithkumar R. · Reviewed 7 أشهر ago

Everytime I attempted to run the Pipeline it would fail with amessage about "ZONE_RESOURCE_POOL_EXHAUSTED:". I started the JupyterLab instance on the zone specified in the instructions, however, the pipeline would choose a different zone (the same one each time I tried). I could not find any way to specify a different zone.

Charles C. · Reviewed 7 أشهر ago

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