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Data Integration with Cloud Data Fusion Course Overview

Data Integration with Cloud Data Fusion Course Overview

The "Data Integration with Cloud Data Fusion" course is designed to provide learners with comprehensive knowledge and hands-on experience in data integration using Google Cloud's Cloud Data Fusion service. This course delves into the what, why, and challenges of data integration, exploring various tools used in the industry and the critical capabilities required for successful data integration projects.

Learners will gain insights into the Cloud Data Fusion architecture and understand how to design and build both simple and complex data pipelines, learning about directed acyclic graphs (DAG), pipeline lifecycle, and the use of Pipeline Studio for designing. The course also covers advanced topics such as branching, merging, joining, error handling, macro functions, and pipeline scheduling.

Participants will learn about pipeline execution environments, including schedules, triggers, and monitoring. A dedicated module on data transformations teaches the use of Wrangler and directives to prepare data effectively. The course also introduces various connectors, the use of the Cloud Data Loss Prevention (DLP) API, and the architecture of streaming pipelines.

Finally, the course underscores the importance of metadata and data lineage, ensuring learners understand how to track data's origin, movement, and characteristics throughout the pipeline. This course is valuable for anyone looking to master data integration techniques and leverage Cloud Data Fusion for scalable, efficient data management solutions.

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Target Audience for Data Integration with Cloud Data Fusion

Koenig Solutions' Data Integration with Cloud Data Fusion course equips professionals for modern data ecosystem challenges and solutions.


  • Data Engineers
  • Business Intelligence Professionals
  • Data Analysts
  • Cloud Solutions Architects
  • IT Managers overseeing data management strategies
  • Database Administrators looking to expand into cloud-based tools
  • Data Integration Specialists
  • Data Scientists who require data preparation skills
  • DevOps Engineers involved in CI/CD of data pipelines
  • Technical Project Managers
  • System Administrators responsible for data infrastructure
  • Software Developers interested in data pipeline architectures
  • IT professionals wanting to upskill in cloud data services


Learning Objectives - What you will Learn in this Data Integration with Cloud Data Fusion?

  1. Introduction to Learning Outcomes: The "Data Integration with Cloud Data Fusion" course equips students with the skills to expertly integrate and transform data using Google Cloud's Data Fusion service, covering tools, architecture, pipeline design, and more.

  2. Learning Objectives and Outcomes:

  • Understand the fundamentals of data integration, including its importance and the challenges it addresses.
  • Identify various data integration tools currently used in the industry and distinguish their use cases.
  • Recognize user personas involved in data integration processes and how Cloud Data Fusion meets their needs.
  • Gain proficiency in navigating and utilizing Cloud Data Fusion's UI components for data integration tasks.
  • Learn the architecture of Cloud Data Fusion and the core concepts underlying its operation.
  • Design, build, and manage data pipelines using Cloud Data Fusion's Pipeline Studio, understanding directed acyclic graphs (DAG).
  • Develop complex pipelines with branching, merging, and joining capabilities, and incorporate error handling and macros for robust data integration solutions.
  • Configure, schedule, import, and export pipelines efficiently while managing pipeline lifecycles.
  • Monitor pipeline executions and understand the roles of schedules, triggers, and execution environments in pipeline performance.
  • Explore connectors for various data sources and implement streaming pipelines, integrating Cloud Data Loss Prevention (DLP) API for data security.

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