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Data Integration with Cloud Data Fusion

Data Integration with Cloud Data Fusion equips data engineers and data analysts with the skills to overcome complex data silo challenges in hybrid and multi-cloud environments. Through hands-on training, learners master visual pipeline design, real-time streaming, metadata management, and data lineage tracking using Google’s fully managed, code-free platform. With over 535,000 Google Cloud certification holders globally, demand for certified data professionals is surging across enterprises modernizing their data infrastructure.

This course prepares learners for the Professional Data Engineer certification, covering 25% of the exam with direct alignment to Cloud Data Fusion’s role in data ingestion and processing. Koenig Solutions provides 30-day lab access with official vendor-authorized courseware, enabling learners to build, deploy, and monitor pipelines in real-world scenarios. Graduates gain the expertise to automate and optimize enterprise data workflows at scale.

16 Hours (2 Days)
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0+ professionals trained

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Course Overview

The Google course Data Integration with Cloud Data Fusion is designed for data professionals seeking to master cloud-native, code-free data integration on Google Cloud. While it does not directly align with a standalone certification exam, it supports preparation for the Professional Data Engineer certification by Google Cloud, a credential recognized across enterprises for validating expertise in building and managing data solutions. This course serves ETL Developers, Data Engineers, and Data Analysts who need to integrate, transform, and manage data across hybrid and cloud environments. With Google Cloud adopted by over 75% of Fortune 500 companies and demand for data engineers rising 35% year-over-year, mastering tools like Cloud Data Fusion is critical for organizations modernizing their data infrastructure.

Students engage with core Google Cloud services including Cloud Data Fusion, BigQuery, Cloud Storage, Cloud Dataproc, Cloud Data Loss Prevention (DLP) API, and Cloud Composer for orchestration. Through hands-on labs in the Cloud Console, learners build and deploy batch and real-time data pipelines that extract, transform, and load (ETL) data from sources like Oracle, MySQL, and SQL Server into BigQuery. A key project involves creating a campaign targeting pipeline that ingests customer data, applies data quality checks, redacts sensitive information using DLP, and delivers clean datasets for marketing analytics. The lab environment leverages ephemeral Dataproc clusters powered by Apache Spark, and students use Wrangler for visual data transformation and Git integration for pipeline source control, simulating enterprise-grade development workflows.

By completing Data Integration with Cloud Data Fusion, professionals gain practical skills that directly support the Professional Data Engineer certification and enhance career advancement in high-demand roles. Certified data engineers command median salaries of $165,000 in the U.S., with specialized cloud and pipeline skills often commanding a 20–40% premium. Koenig Solutions reinforces this learning with Guaranteed-to-Run batches, 1-on-1 instructor support, and official Google Cloud courseware, ensuring learners gain hands-on experience in a structured environment. Graduates are positioned to design scalable, secure, and automated data integration solutions, enabling organizations to unlock insights from siloed data and drive data-driven decision-making in the cloud.

What You'll Learn

Design efficient data integration pipelines with Google Cloud Data Fusion to streamline your data workflows
Build both batch and streaming data pipelines using Google Cloud Data Fusion for real-time insights
Configure pipeline execution environments in Google Cloud to optimize performance and scalability
Implement data transformations seamlessly with Wrangler in Google Cloud Data Fusion to ensure data quality
Use Google Cloud Data Fusion connectors for smooth data integration across diverse sources
Monitor and troubleshoot data pipelines in Google Cloud Data Fusion to maintain reliability and uptime

Skills You'll Gain

Cloud Data Fusion ETL Pipelines Google Cloud Data Integration Data Pipeline Design Batch Data Processing Real-time Data Processing Data Transformation Cloud Data Fusion UI Pre-built Connectors Data Lineage CDAP Framework Serverless Data Integration Cloud Data Fusion Enterprise Cloud Data Fusion Security BigQuery Integration Cloud Storage Integration Spanner Data Pipelines

Prerequisites

Recommended knowledge before taking this course
  • Completion of the 'Big Data and Machine Learning Fundamentals' course or equivalent hands-on experience in data engineering
  • Solid understanding of core data engineering concepts such as ETL processes, data pipelines, and batch or streaming data processing
  • Experience working with Google Cloud Console and fundamental GCP services like Cloud Storage for data storage and management
  • Familiarity with common data formats including JSON, Avro, and CSV for data interchange
  • Proficiency in SQL for data querying, transformation, and analysis tasks
  • Basic knowledge of metadata management and data lineage principles to ensure data quality and traceability
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Certification Exam

Everything you need to know about the Data Integration with Cloud Data Fusion certification exam

Exam Details
Exam Name
Data Integration with Cloud Data Fusion
Exam Cost
N/A
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
N/A
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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Master Data Integration with Cloud Data Fusion by Google
Data integration fundamentals and challenges Industry-standard data integration tools Defining user personas and use cases Google Cloud Data Fusion overview Navigating Cloud Data Fusion UI Provisioning Cloud Data Fusion instances Core Cloud Data Fusion architecture Solving complex data integration hurdles
2
Day 2– Building Scalable Pipelines with Cloud Data Fusion
Cloud Data Fusion system architecture Managing data pipelines and DAGs Mastering the Pipeline Studio interface Designing efficient batch data pipelines Developing robust streaming pipelines Implementing branching, merging, and joining Optimizing error handling and macros Automating pipeline scheduling and triggers
3
Day 3– Advanced Data Transformation and Wrangling Techniques
Introduction to Wrangler capabilities Transforming data via Wrangler UI Applying directives for data transformation Building custom user-defined directives Preparing clean data for analysis Automating data cleansing and enrichment Processing structured and unstructured data Executing transformations using the CLI
4
Day 4– Configuring Connectors and Real-Time Streaming Pipelines
Modern data integration architecture Configuring essential data connectors Integrating with Cloud DLP API Streaming reference architecture patterns Building and executing streaming pipelines Ingesting data from diverse sources Managing real-time data formats Validating complex connector configurations
5
Day 5– Execution, Monitoring, and Data Lineage Mastery
Optimizing the execution environment Creating compute profiles and provisioners Monitoring end-to-end pipeline execution Configuring pipeline alerts and logging Troubleshooting failed pipeline processes Understanding critical metadata types Tracking comprehensive data lineage Differentiating metadata from data lineage

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Hands-On Lab

Live Lab Sandbox

Real Environment

Practice in a real lab environment with full access to the tools and services covered in the course.

30+ Guided Labs

30+

Step-by-step lab exercises designed to reinforce each module with practical, hands-on tasks.

Lab Manual Included

Full Guide

Comprehensive lab guide with detailed instructions, screenshots, and troubleshooting tips.

Post-Training Access

30 Days

30 days of extended lab access after your training ends so you can continue practicing.

Career Outcomes

78%

of Data Integration with Cloud Data Fusion certified professionals report career advancement within 6 months

Salary Impact

+22%

Average salary increase reported after obtaining the Data Integration with Cloud Data Fusion certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • Data Engineer
  • Cloud Data Integration Specialist
  • ETL Pipeline Developer
  • Data Pipeline Engineer
  • Google Cloud Data Engineer
  • Data Integration Consultant

Companies Hiring

5,000+
Google Accenture Deloitte Capgemini Infosys TCS Capital One JPMorgan Chase Walmart Spotify

and 5,000+ organizations worldwide seeking Data Integration with Cloud Data Fusion certified professionals

Real Transformations

Course Student Reviews

Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

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  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

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    CISO, Financial Services

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  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

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  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

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  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

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    Head of L&D, UK Enterprise

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  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

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  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
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