Google Cloud
Serverless Data Processing with Dataflow Specialization
Google Cloud

Serverless Data Processing with Dataflow Specialization

Building Big Data Applications that Scale

4,017 already enrolled

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Get in-depth knowledge of a subject
4.1

(94 reviews)

Intermediate level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.1

(94 reviews)

Intermediate level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Demonstrate how Apache Beam and Cloud Dataflow work together to fulfill your organization’s data processing needs

  • Write pipelines and advanced components such as utility functions, schemas, and watermarks.

  • Perform monitoring, troubleshooting, testing and CI/CD on Dataflow pipelines.

  • Deploy Dataflow pipelines with reliability in mind to maximize stability for your data processing platform

Details to know

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Taught in English

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Specialization - 3 course series

Serverless Data Processing with Dataflow: Foundations

Course 13 hours4.2 (82 ratings)

What you'll learn

What you'll learn

  • Review the main Apache Beam concepts covered in the Data Engineering on Google Cloud course

  • Review core streaming concepts covered in DE (unbounded PCollections, windows, watermarks, and triggers)

  • Select & tune the I/O of your choice for your Dataflow pipeline

  • Use schemas to simplify your Beam code & improve the performance of your pipeline

Serverless Data Processing with Dataflow: Operations

Course 39 hours3.6 (17 ratings)

What you'll learn

  • Perform monitoring, troubleshooting, testing and CI/CD on Dataflow pipelines.

  • Deploy Dataflow pipelines with reliability in mind to maximize stability for your data processing platform

Instructor

Google Cloud Training
Google Cloud
1,681 Courses2,790,916 learners

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Google Cloud

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