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
- 5 stars67.37%
- 4 stars25.61%
- 3 stars5.40%
- 2 stars1.35%
- 1 star0.25%
TOP REVIEWS FROM BUILDING RESILIENT STREAMING ANALYTICS SYSTEMS ON GOOGLE CLOUD
Another excellent course. Many opportunities to use Cloud Dataflow and effective ways of using Google's big data warehouse, BigQuery.
Excellent course, I've learned more about Bigquery. I would like more Dataflow real examples.
The most compacted and impacted course in data engineering with abundance of resources. A lot to learn from this course.
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.
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