Google Cloud
Serverless Data Processing with Dataflow: Operations
Google Cloud

Serverless Data Processing with Dataflow: Operations

This course is part of Serverless Data Processing with Dataflow Specialization

Taught in English

1,760 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

3.6

(17 reviews)

Advanced level
Designed for those already in the industry
9 hours (approximately)
Flexible schedule
Learn at your own pace

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

Details to know

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Assessments

7 quizzes

Course

Gain insight into a topic and learn the fundamentals

3.6

(17 reviews)

Advanced level
Designed for those already in the industry
9 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Serverless Data Processing with Dataflow Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 9 modules in this course

This module covers the course outline

What's included

2 videos2 readings

In this module, we learn how to use the Jobs List page to filter for jobs that we want to monitor or investigate. We look at how the Job Graph, Job Info, and Job Metrics tabs collectively provide a comprehensive summary of your Dataflow job. Lastly, we learn how we can use Dataflow’s integration with Metrics Explorer to create alerting policies for Dataflow metrics.

What's included

5 videos1 reading1 quiz

In this module, we learn how to use the Log panel at the bottom of both the Job Graph and Job Metrics pages, and learn about the centralized Error Reporting page.

What's included

2 videos1 reading1 quiz

In this module, we learn how to troubleshoot and debug Dataflow pipelines. We will also review the four common modes of failure for Dataflow: failure to build the pipeline, failure to start the pipeline on Dataflow, failure during pipeline execution, and performance issues.

What's included

2 videos1 reading1 quiz1 app item

In this module, we will discuss performance considerations we should be aware of while developing batch and streaming pipelines in Dataflow.

What's included

4 videos1 reading1 quiz

This module will discuss unit testing your Dataflow pipelines. We also introduce frameworks and features available to streamline your CI/CD workflow for Dataflow pipelines.

What's included

5 videos1 reading1 quiz3 app items

In this module we will discuss methods for building systems that are resilient to corrupted data and data center outages.

What's included

5 videos1 reading1 quiz

This module covers Flex Templates, a feature that helps data engineering teams standardize and reuse Dataflow pipeline code. Many operational challenges can be solved with Flex Templates.

What's included

4 videos1 reading1 quiz2 app items

This module reviews the topics covered in the course

What's included

1 video

Instructor

Google Cloud Training
Google Cloud
1,336 Courses2,543,505 learners

Offered by

Google Cloud

Recommended if you're interested in Data Analysis

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Learner reviews

Showing 3 of 17

3.6

17 reviews

  • 5 stars

    47.05%

  • 4 stars

    11.76%

  • 3 stars

    11.76%

  • 2 stars

    11.76%

  • 1 star

    17.64%

RR
5

Reviewed on Aug 4, 2022

RT
5

Reviewed on Oct 21, 2023

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