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Serverless Data Processing with Dataflow - Edx

This course is part of Google Cloud Data Engineer Learning Path.

This foundational course introduces serverless data processing using Google Cloud Dataflow. As part one of a three-course series, it covers essential concepts of Apache Beam and its integration with Dataflow, exploring the Beam Portability framework's benefits and implementation. Students learn to optimize performance through Shuffle & Streaming Engine configuration, implement cost-efficient resource scheduling, and establish proper security protocols. The course emphasizes practical applications in separating compute and storage while managing identity and access controls for Dataflow pipelines.

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Serverless Data Processing with Dataflow - Edx

This course includes

1 Week

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

5,675

Audit For Free

What you'll learn

  • Implement Apache Beam and Cloud Dataflow integration effectively

  • Optimize performance using Shuffle & Streaming Engine features

  • Configure Flexible Resource Scheduling for cost efficiency

  • Manage IAM permissions and security for Dataflow jobs

  • Deploy the Beam Portability Framework successfully

  • Establish secure data processing environments

Skills you'll gain

Apache Beam
Cloud Dataflow
Data Processing
Beam Portability
IAM
Security
Resource Management
Streaming Data
Pipeline Development
Cloud Computing

This course includes:

PreRecorded video

Graded assignments, exams

Access on Mobile, Tablet, Desktop

Limited Access access

Shareable certificate

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There are 6 modules in this course

This comprehensive course focuses on the fundamentals of serverless data processing using Google Cloud Dataflow. The curriculum covers the relationship between Apache Beam and Dataflow, the implementation of the Beam Portability framework, optimization of compute and storage separation, and security best practices. Through detailed modules, participants learn about IAM roles, quota management, and security model implementation specific to Dataflow. The course provides essential knowledge for building efficient, secure, and scalable data processing solutions.

Introduction

Module 1

Beam Portability

Module 2

Separating Compute and Storage with Dataflow

Module 3

IAM, Quotas, and Permissions

Module 4

Security

Module 5

Summary

Module 6

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Google Cloud Data Engineer Learning Path

Instructor

Google Cloud Training
Google Cloud Training

4.7 rating

86 Reviews

26,85,892 Students

1,729 Courses

Empowering Businesses with Expert Training from Google Cloud

The Google Cloud Training team is tasked with developing, delivering, and evaluating training programs that enable our enterprise customers and partners to effectively utilize our products and solutions. Google Cloud empowers millions of organizations to enhance employee capabilities, improve customer service, and innovate for the future using cutting-edge technology built specifically for the cloud. Our products are designed with a focus on security, reliability, and scalability, covering everything from infrastructure to applications, devices, and hardware. Our dedicated teams are committed to helping customers successfully leverage our technologies to drive their success.

Serverless Data Processing with Dataflow - Edx

This course includes

1 Week

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

5,675

Audit For Free

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.