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.
About this Course
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
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- 1 star0.25%
TOP REVIEWS FROM BUILDING RESILIENT STREAMING ANALYTICS SYSTEMS ON GOOGLE CLOUD
Excellent course, I've learned more about Bigquery. I would like more Dataflow real examples.
Overall, I thought this course was valuable. I am not aware of how to deal with streaming systems and considerations when leveraging these systems in applicaitons.
The review of Cloud Pub/Sub and the advanced query functionality of BigQuery was especially good.
Another excellent course. Many opportunities to use Cloud Dataflow and effective ways of using Google's big data warehouse, BigQuery.
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