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Serverless Data Processing with Dataflow - Edx
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Serverless Data Processing with Dataflow - Edx

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

Course Cost

₹ 6,030

Intermediate

Skill Level

1 Week

Self-paced lessons

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.

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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Share your certificate with prospective employers and your professional network on LinkedIn.

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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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

Payment options

Financial Aid

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Serverless Data Processing with Dataflow - Edx

Intermediate

Skill Level

1 Week

Self-paced lessons

Course Cost

₹ 6,030

Completion

CERTIFICATE

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.