What Does MVP Stand For? It’s Not What You Think.
October 7, 2024
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This course is part of multiple programs.
Instructor: Google Cloud Training
36,989 already enrolled
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(1,253 reviews)
(1,253 reviews)
Interpret use-cases for real-time streaming analytics.
Manage data events using the Pub/Sub asynchronous messaging service.
Write streaming pipelines and run transformations where necessary.
Interoperate Dataflow, BigQuery and Pub/Sub for real-time streaming and analysis
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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 Bigtable for analysis. Learners get hands-on experience building streaming data pipeline components on Google Cloud by using Google Cloud Skills Boost.
This module introduces the course and agenda
This modules talks about challenges with processing streaming data
1 video1 assignment
This module talks about using Pub/Sub to ingest incoming streaming data
7 videos1 assignment1 app item
This module revisits Dataflow and focuses on its streaming data processing capabilities
4 videos1 assignment1 app item
This modules covers BigQuery and Bigtable for streaming data
6 videos2 assignments3 app items
This module dives into more advanced features of BigQuery
7 videos1 assignment1 app item
This module recaps the topics covered in course
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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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Reviewed on Mar 22, 2020
Overall content and coverage was good, but would suggest to have some detailed sessions around beam pipelines as well.
Reviewed on May 8, 2020
It was really good experience as always at Google cloud platform. Thanks for the team for materials and great course content. appreciated.
Reviewed on Mar 14, 2021
This course has the most important technique for building streaming data and building efficient big queries.
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