Building Big Data Applications that Scale

Instructor: Google Cloud Training

What you'll learn

  •   Demonstrate how Apache Beam and Cloud Dataflow work together to fulfill your organization’s data processing needs
  •   Write pipelines and advanced components such as utility functions, schemas, and watermarks.
  •   Perform monitoring, troubleshooting, testing and CI/CD on Dataflow pipelines.
  •   Deploy Dataflow pipelines with reliability in mind to maximize stability for your data processing platform

    • Skills you'll gain

  •   Identity and Access Management
  •   Jupyter
  •   System Monitoring
  •   CI/CD
  •   Data Pipelines
  •   Serverless Computing
  •   Disaster Recovery
  •   Real Time Data
  •   Containerization
  •   Data Security
  •   Data Transformation
  •   Performance Tuning

    • Specialization - 3 course series

    This specialization incorporates hands-on labs using Qwiklabs platform. The labs build on the concepts covered in the course modules. Where applicable, we have provided Java and Python versions of the labs. For labs that require adding/updating code, we have provided a recommended solution for your reference.

    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 <<<

    Serverless Data Processing with Dataflow: Develop Pipelines

    Serverless Data Processing with Dataflow: Operations

    ©2025  ementorhub.com. All rights reserved