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. Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using 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 using QwikLabs.
Module introduction
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Reviews
4.6 (1,197 ratings)
- 5 stars67.33%
- 4 stars25.64%
- 3 stars5.43%
- 2 stars1.33%
- 1 star0.25%
AS
Jun 28, 2020
An excellent course. A great way to teach building streaming data pipelines and optimizing queries on BigQuery and BigTable (by , inter alia, partitioning data sets )through hands-on labs.
NN
Jan 9, 2022
Great course to understand how to create batch and streaming pipelines to ingest data into data lakes and data warehouses, and advanced bigquery techniques optimization.
From the lesson
Serverless Messaging with Pub/Sub
This module talks about using Pub/Sub to ingest incoming streaming data
Taught By
Google Cloud Training
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