Advanced Google Cloud Dataflow Course

Course Description

Welcome to the final installment of the Dataflow course series! This advanced-level course, offered by Google Cloud, is designed to take your Dataflow skills to the next level. In this comprehensive program, you'll dive deep into the operational model of Dataflow, mastering the art of troubleshooting, optimizing, and maintaining high-performance data pipelines. You'll learn essential techniques for monitoring, testing, and deploying Dataflow pipelines with a focus on reliability and scalability. By the end of this course, you'll be equipped with the knowledge and skills to build and manage robust, enterprise-grade data processing platforms using Google Cloud Dataflow.

What You'll Learn

• In-depth understanding of Dataflow's operational model
• Advanced techniques for monitoring, troubleshooting, and optimizing Dataflow pipelines
• Best practices for testing, deployment, and ensuring reliability in Dataflow pipelines
• Mastery of Dataflow Templates for scaling pipelines across large organizations
• Strategies for building resilient data processing systems
• Performance optimization for both batch and streaming pipelines
• Implementation of CI/CD workflows for Dataflow pipelines
• Utilization of Flex Templates for standardizing and reusing pipeline code

Prerequisites

While there are no specific prerequisites, it's recommended that students have:

• Basic knowledge of Google Cloud Platform
• Familiarity with data processing concepts
• Prior experience with Dataflow or similar data processing frameworks
• Understanding of Java or Python programming languages

Course Content

• Dataflow operational model components
• Advanced monitoring and alerting techniques
• Logging and error reporting in Dataflow
• Troubleshooting and debugging Dataflow pipelines
• Performance optimization for batch and streaming pipelines
• Unit testing and CI/CD integration for Dataflow
• Building reliable and resilient data processing systems
• Implementing Flex Templates for standardization and reusability

Who This Course Is For

• Data engineers looking to advance their Dataflow skills
• Cloud professionals seeking to specialize in Google Cloud data processing
• DevOps engineers working with data pipelines
• Software developers transitioning to big data processing roles
• IT professionals aiming to enhance their data platform management skills

Real-World Applications

The skills acquired in this course are directly applicable to real-world scenarios, enabling learners to:

• Design and implement scalable, efficient data processing solutions for large organizations
• Troubleshoot and optimize existing Dataflow pipelines to improve performance and reduce costs
• Implement robust monitoring and alerting systems for data pipelines
• Develop reliable data processing platforms that can handle unexpected failures and data corruptions
• Streamline the deployment and management of Dataflow pipelines across multiple teams and projects
• Apply best practices in testing and CI/CD to ensure high-quality, maintainable data processing code
• Leverage Flex Templates to standardize and reuse pipeline code across an organization

Syllabus