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Google Cloud による Building Resilient Streaming Analytics Systems on GCP の受講者のレビューおよびフィードバック

4.6
116件の評価
12件のレビュー

コースについて

*Note: this is a new course with updated content from what you may have seen in the previous version of this Specialization. Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud Platform. Cloud Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Cloud Dataflow, and how to store processed records to BigQuery or Cloud Bigtable for analysis. Learners will get hands-on experience building streaming data pipeline components on Google Cloud Platform using QwikLabs....

人気のレビュー

GB

Mar 23, 2020

Overall content and coverage was good, but would suggest to have some detailed sessions around beam pipelines as well.

TE

Feb 11, 2020

A great way to start on the road to understanding streaming data and how to use it for insights

フィルター:

Building Resilient Streaming Analytics Systems on GCP: 1 - 12 / 12 レビュー

by Poldi R

Feb 17, 2020

Great intro for streaming data with Google Cloud products. Especially liked learning with Qwiklabs, you really use the actual GCP! Also some nice examples of BigQuery GIS functions.

by GAURAV B

Mar 23, 2020

Overall content and coverage was good, but would suggest to have some detailed sessions around beam pipelines as well.

by Tawanda E

Feb 11, 2020

A great way to start on the road to understanding streaming data and how to use it for insights

by Antonio M C A

Mar 20, 2020

Excellent course, I've learned more about Bigquery. I would like more Dataflow real examples.

by Mohammad H

Mar 27, 2020

Thanks for your kindness

by Ritesh K

Jan 16, 2020

Very Good

by Gonzalo L Ó R

Mar 25, 2020

Genial!

by Atichat P

Jan 09, 2020

Good

by Satya M

Feb 13, 2020

Course could be improved with more details on streaming especially on BEAM.

by SAJID M W

Jan 13, 2020

good

by Ivan A

Feb 13, 2020

Some good content on streaming but also some content that seems to be only loosely related to streaming. This particular course at times feels like a random selection of individual course snippets developed for previous courses.

by Van Q P

Feb 10, 2020

An Indian have strong accent, it hard to listening and focus on lecture content.