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Recent Comments (The most recent comments are at the top.)
https://cloud.google.com/bigquery/quotas#streaming_inserts
you can insert 100,000 rows a second.
Because of that i still think you need pub/sub
https://cloud.google.com/bigquery/streaming-data-into-bigquery
Correct is B.
You can stream to BigQuery.
Answer is D
New Scenario is all 20 million vehicles are cellular connected and this is now a streaming instead of file copy (batch). That means options A and C are no good. In all solutions I see in google there is no solution that opts to stream directly to BigQuery. It goes to Pub/Sub and then to BigQuery. Check this
http://gcp.solutions/diagram/Log%20Processing
specially these
http://gcp.solutions/diagram/Log%20Processing
http://gcp.solutions/diagram/Time%20Series%20Analysis
A -Vehicles write data directly to GCS - is right answer, there was a study case with approx the same conditions (millions tiny files with per hour rate)
by using the BigQuery API, you can ingest millions of rows into BigQuery per second
@testtaker this is a scenario where they are all cellular connected, so this is how the design should be if it no longer is the batch case
i would choose D
http://gcp.solutions/diagram/Sensor%20stream%20ingest%20and%20processing - pub sub as primary factor in picture...
A
The 19.8M vehicles which dont have cellular cloud connections "batch" upload their data -> GCS!
Andrey.... Big Query wouldn't support this volume per second.... Correct???
Andrey.... Big Query wouldn't support this volume per second.... Correct???
Andrey - Ok I understand you point. Answer 'A' could be good also but considering the case study they (will) use Pub/sub for ingestion.
I think the correct answer is D, since:
A - what GCS? Which service?
B - This too huge amount of data to be written into BigQuery which is not good for ingest heavy tasks
C - From the other questions we know that the company migrated the system from FTP
Correct answer - A.