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.
이 강좌에 대하여
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.
- 5 stars
- 4 stars
- 3 stars
- 2 stars
- 1 star
BUILDING RESILIENT STREAMING ANALYTICS SYSTEMS ON GOOGLE CLOUD의 최상위 리뷰
Great course on understanding how to build streaming pipelines to ingest data into datalakes and datawarehouses , as well as techniques and technologies that support data querying optimization
Excellent, googles team explains things in a straightforward and hands-on manner that gets you ready to start integrating BigQuery, BigTable, DataFusion, and Data Studio in a matter of hours.
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.
This one really helps!!! However, I would appreciate if dataflow job such as averagespeed was written in python. No worries I will write one myself!! Thanks a lot for everything!!!
자주 묻는 질문
등록 전에 강좌를 미리 볼 수 있나요?
등록하면 무엇을 이용할 수 있나요?
강좌 수료증을 언제 받게 되나요?
이 강좌를 청강할 수 없는 이유는 무엇인가요?
궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.