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Serverless Data Processing with Dataflow: Foundations
  • Level Professional
  • Duration 3 hours
  • Course by Google Cloud
  • Offered by

About

This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend. We then show you how Dataflow allows you to separate compute and storage while saving money, and how identity, access, and management tools interact with your Dataflow pipelines. Lastly, we look at how to implement the right security model for your use case on Dataflow. Prerequisites: The Serverless Data Processing with Dataflow course series builds on the concepts covered in the Data Engineering specialization. We recommend the following prerequisite courses: (i)Building batch data pipelines on Google Cloud : covers core Dataflow principles (ii)Building Resilient Streaming Analytics Systems on Google Cloud : covers streaming basics concepts like windowing, triggers, and watermarks >>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<

Modules

Overview

    • 2 Videos
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2 Videos

  • Course Introduction
  • Getting Started with Google Cloud Platform and Qwiklabs

Dataflow basics: Refresher

    • 1 Videos
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1 Videos

  • Beam and Dataflow Refresher

Course Feedback

    • 1 Readings
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1 Readings

  • How to Send Feedback

Beam Portability

    • 4 Videos
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4 Videos

  • Beam Portability
  • Runner v2
  • Container Environments
  • Cross-Language Transforms

Quiz

    • 1 Assignment
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1 Assignment

  • Beam Portability

Separating Compute and Storage with Dataflow

    • 4 Videos
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4 Videos

  • Dataflow
  • Dataflow Shuffle Service
  • Dataflow Streaming Engine
  • Flexible Resource Scheduling

Quiz

    • 1 Assignment
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1 Assignment

  • Separating Compute and Storage with Dataflow

IAM, Quotas, and Permissions

    • 2 Videos
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2 Videos

  • IAM
  • Quotas

Quiz

    • 1 Assignment
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1 Assignment

  • IAM, Quotas, and Permissions

Security

    • 4 Videos
    • 1 ExternalTool
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1 External Tool

  • Lab: Setup IAM and Networking for your Dataflow Jobs

4 Videos

  • Data Locality
  • Shared VPC
  • Private IPs
  • CMEK

Quiz

    • 1 Assignment
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1 Assignment

  • Security

Summary

    • 1 Videos
    • 1 Readings
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1 Videos

  • Course Summary

1 Readings

  • Additional Resources

Auto Summary

"Serverless Data Processing with Dataflow: Foundations" is a professional-level course in Data Science & AI, led by Coursera. The course delves into Apache Beam, its vision, and Beam Portability, illustrating how Dataflow can optimize compute and storage costs. It also covers security models for Dataflow pipelines. Designed for learners with prior data engineering knowledge, this 180-minute course is part of a three-course series. Subscription options include Starter and Professional plans, making it ideal for data professionals aiming to enhance their serverless data processing skills.

Google Cloud Training
Instructor

Google Cloud Training