Course Overview

Master the Foundations with Serverless Data Processing with Dataflow: 

  • Navigate the relationship between Beam’s unified programming model and Dataflow’s managed execution service. 
  • Understand how Beam’s portability ensures your code runs effortlessly across different execution environments. 
  • Learn how to translate your real-world needs into efficient data processing pipelines. 
  • Implement transformations, aggregations, and windowing with hands-on exercises. 
  • Master monitoring, troubleshooting, testing, and CI/CD best practices for reliable pipelines. 
  • Implement proven strategies for ensuring your applications are resilient and performant. Course Introduction 

After completing this course on Serverless Data Processing with Dataflow, Students will be able to:

    • In this course, you'll unlock the power of Serverless Data Processing with Dataflow:
  • Understand how Beam's unified model and Dataflow's managed execution service work together seamlessly.
  • Leverage Beam's flexibility to run your code across diverse environments, avoiding vendor lock-in.
  • Master both batch and streaming pipelines by enabling the appropriate engine for each.
  • Optimize costs and performance with granular control over resource allocation.
  • Grant the right level of access for your Dataflow jobs, ensuring security and efficiency.
  • Implement industry-standard best practices for a robust and secure data processing environment.
  • Choose the optimal input/output source for your pipeline and maximize performance through fine-tuning.
  • Simplify your Beam code and boost pipeline efficiency by utilizing data schemas.
  • Develop pipelines with familiar SQL syntax and DataFrame structures.
  • Gain insights into pipeline health and proactively address issues.
  • Ensure code quality and seamless deployment with testing and continuous integration/continuous delivery practices.

Upcoming Batches

Enroll Online
Start Date End Date

To be Decided

Serverless Data Processing with Dataflow: Key Features:

  • Our Google Cloud Platform training modules have 50% - 60% hands-on lab sessions to encourage Thinking-Based Learning (TBL).
  • Interactive-rich virtual and face-to-face classroom teaching to inculcate Problem-Based Learning (PBL).
  • GCP-certified instructor-led training and mentoring sessions to develop Competency-Based Learning (CBL).
  • Well-structured use cases to simulate challenges encountered in a Real-World environment during Google Cloud Platform training.
  • Integrated teaching assistance and support through an experts-designed Learning Management System (LMS) and ExamReady platform.
  • Being an official Google Cloud Platform Training Partner, we offer authored curricula aligned with industry standards.

Who Should Attend this Course on Serverless Data Processing with Dataflow Specialization:

  • Data Engineer
  • Data Analysts and Data Scientists aspiring to develop Data Engineering skills

Prerequisites:

    To get the most out of this course, participants should have:
  • Completed “Building Batch Data Pipelines”
  • Completed “Building Resilient Streaming Analytics Systems”
  • Why choose CloudThat as your Serverless Data Processing with Dataflow Training Partner?

    • Specialized GCP Focus: CloudThat specializes in cloud technologies, offering focused and specialized training programs. We are Authorized Trainers for the Google Cloud Platform. This specialization ensures in-depth coverage of GCP services, use cases, best practices, and hands-on experience tailored specifically for GCP.
    • Industry-Recognized Trainers: CloudThat has a strong pool of industry-recognized trainers certified by GCP. These trainers bring real-world experience and practical insights into the training sessions, comprehensively understanding how GCP is applied in different industries and scenarios.
    • Hands-On Learning Approach: CloudThat emphasizes a hands-on learning approach. Learners can access practical labs, real-world projects, and case studies that simulate actual GCP environments. This approach allows learners to apply theoretical knowledge in practical scenarios, enhancing their understanding and skill set.
    • Customized Learning Paths: CloudThat understands that learners have different levels of expertise and varied learning objectives. We offer customized learning paths, catering to beginners, intermediate learners, and professionals seeking advanced GCP skills.
    • Interactive Learning Experience: CloudThat's training programs are designed to be interactive and engaging. We utilize various teaching methodologies like live sessions, group discussions, quizzes, and mentorship to keep learners engaged and motivated throughout the course.
    • Placement Assistance and Career Support: CloudThat often provides placement assistance and career support services. This includes resume building, interview preparation, and connecting learners with job opportunities through our network of industry partners and companies looking for GCP-certified professionals.
    • Continuous Learning and Updates: CloudThat ensures that our course content is regularly updated to reflect the latest trends, updates, and best practices within the GCP ecosystem. This commitment to keeping the content current enables learners to stay ahead in their GCP knowledge.
    • Positive Reviews and Testimonials: Reviews and testimonials from past learners can strongly indicate the quality of training provided. You can Check feedback and reviews about our GCP courses that can provide potential learners with insights into the effectiveness and value of the training.

    Learning objective of the course

    • By completing this course on Serverless Data Processing with Dataflow, you can:

    • Design and implement data processing pipelines for diverse needs on Google Cloud Dataflow.
    • Leverage Apache Beam's flexibility to run pipelines across environments, avoiding vendor lock-in.
    • Choose and tune engines, resources, and I/O to maximize pipeline efficiency and cost-effectiveness.
    • Implement industry best practices for secure data access, permissions, and environment management.
    • Utilize Beam coding features like schemas, SQL, and DataFrames for faster and more readable pipelines.
    • Implement monitoring, troubleshooting, testing, and CI/CD strategies for reliable and resilient applications.

    Course modules: Download Course Outline

    Topics:

    • Course Introduction
    • Beam and Dataflow Refresher

    Topics:

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

    Activities:

    • Quiz

    Topics:

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

    Activities:

    • Quiz

    Topics:

    • IAM
    • Quota

    Activities:

    • Quiz

    Topics:

    • Data Locality
    • Shared VPC
    • Private IPs
    • CMEK

    Activities:

    • Hands-on Lab and Quiz

    Topics:

    • Beam Basics
    • Utility Transforms
    • DoFn Lifecycle

    Activities:

    • Hands-on Lab and Quiz

    Topics:

    • Windows
    • Watermarks
    • Triggers

    Activities:

    • Hands-on Lab and Quiz

    Topics:

    • Sources and Sinks
    • Text IO and File IO
    • BigQuery IO
    • PubSub IO
    • Kafka IO
    • Bigable IO
    • Avro IO
    • Splittable DoFn

    Activities:

    • Quiz

    Topics:

    • Beam Schemas
    • Code Examples

    Activities:

    • Hands-on Lab and Quiz

    Topics:

    • State API
    • Timer API
    • Summary 

    Activities:

    • Quiz

    Topics:

    • Schemas
    • Handling unprocessable Data
    • Error Handling
    • AutoValue Code Generator
    • JSON Data Handling
    • Utilize DoFn Lifecycle
    • Pipeline Optimizations 

    Activities:

    • Hands-on Lab and Quiz

    Topics:

    • Dataflow and Beam SQL
    • Windowing in SQL
    • Beam DataFrames 

    Activities:

    • Hands-on Lab and Quiz

    Topics:

    • Beam Notebooks

    Activities:

    • Quiz

    Topics:

    • Job List
    • Job Info
    • Job Graph
    • Job Metrics
    • Metrics Explorer

    Activities:

    • Quiz

    Topics:

    • Logging
    • Error Reporting

    Activities:

    • Quiz

    Topics:

    • Troubleshooting Workflow
    • Types of Troubles 

    Activities:

    • Hands-on Lab and Quiz

    Topics:

    • Pipeline Design
    • Data Shape
    • Source, Sinks, and External Systems
    • Shuffle and Streaming Engine

    Activities:

    • Hands-on Lab and Quiz

    Topics:

    • Testing and CI/CD Overview
    • Unit Testing
    • Integration Testing
    • Artifact Building
    • Deployment

    Activities:

    • Hands-on Lab and Quiz

    Topics:

    • Introduction to Reliability
    • Monitoring
    • Geolocation
    • Disaster Recovery
    • High Availability

    Activities:

    • Quiz

    Topics:

    • Classic Templates
    • Flex Templates
    • Using Flex Templates
    • Google-provided Templates

    Activities:

    • Hands-on Lab and Quiz

    Topics:

    • Summary

    Course Fee

    Select Course date

    Add to Wishlist

    Course ID: 19282

    Course Price at

    $999 + 0% TAX
    Enroll Now

    Frequently Asked Questions

    This course is designed for experienced data practitioners who want to take their Dataflow skills to the next level and build robust, scalable data processing applications. You should have familiarity with basic data concepts and ideally some prior data processing experience.

    You'll gain expertise in building and deploying efficient, secure, and cost-effective Dataflow pipelines. This includes understanding Apache Beam and Dataflow's relationship, leveraging Beam's portability, building batch and streaming pipelines, optimizing resource allocation, implementing security best practices, choosing optimal I/O, simplifying code with schemas, developing pipelines with SQL and DataFrames, and mastering monitoring, troubleshooting, testing, and CI/CD.

    Definitely! 50-60% of the course is dedicated to hands-on labs to ensure you actively apply your learning and develop solid practical skills.

    The course utilizes a blended learning approach with interactive virtual and face-to-face sessions (depending on your preference) to promote problem-based learning. Additionally, you'll benefit from GCP-certified instructor-led training and mentoring for competency-based learning.

    The course incorporates well-structured use cases that simulate real-world challenges in data processing with Google Cloud Platform, giving you practical experience and confidence in applying your skills.

    Absolutely! You'll have access to an integrated learning management system (LMS) and ExamReady platform for additional resources and support. You can also rely on expert-designed teaching assistance throughout the course.

    Yes! We are an official Google Cloud Platform Training Partner, and our curriculum is aligned with industry standards, ensuring you receive relevant and up-to-date training.

    While prior data processing experience is helpful, the foundation course prerequisites include basic data processing concepts like data ingestion, transformations, and data storage.

    Please visit our website or contact us for enrollment details. We offer flexible options to suit your needs and learning preferences.

    Enquire Now