Course Overview:

The course, packed with hands-on labs and expert guidance, ensures you gain the skills to: 

  • Understand the complexities and challenges involved in integrating data from a multitude of sources and formats. 
  • Discover how this robust platform streamlines data integration, empowering you to unify disparate data silos and unleash its full potential. 
  • Design and implement visually intuitive pipelines, effortlessly processing batch and real-time streaming data in a centralized platform. 
  • Get comprehensive insights into your data’s journey, ensuring transparency and facilitating collaboration within your team. 
  • Deploy your pipelines on engines like Cloud Dataproc for Apache Spark, ensuring flexibility and optimal performance. 

Data Integration with Cloud Data Fusion - What You'll Learn:

  • Grasp the critical role of data integration in modern businesses and the challenges associated with unifying diverse data sources.
  • Explore the capabilities of this robust platform, understanding how it simplifies data unification, automates workflows, and streamlines processes.
  • Discover various scenarios where Cloud Data Fusion shines, from migrating on-premises data to the cloud to integrating real-time streaming pipelines.
  • Demystify the platform's architecture, understanding its key components like pipelines, sources, sinks, and transformations.
  • Design and execute batch and real-time data processing pipelines using the intuitive visual interface.
  • Leverage Wrangler, a powerful data transformation tool, to clean, filter, and manipulate data effectively.
  • Integrate data from various sources and formats using pre-built connectors and custom development options.
  • Configure optimal execution environments for your pipelines, learn to monitor performance, and troubleshoot potential issues.
  • Understand the relationship between metadata and data lineage, gaining valuable insights into your data's origin, transformations, and journey.
  • Leverage data lineage for clear communication and enhanced collaboration within your team.

Upcoming Batches

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Key Features of Data Integration with Cloud Data Fusion

  • 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 Data Integration with Cloud Data Fusion:

  • Data Engineer
  • Data Analysts

What are the prerequisites for the training?

    To get the most out of this course, participants should have:
  • Completed “Big Data and Machine Learning Fundamentals”
  • Learning objective of the course:

    • Confidently design and implement data integration solutions using Cloud Data Fusion.
    • Unlock valuable insights from previously siloed data sources.
    • Streamline your data management processes and enhance operational efficiency.
    • Collaborate effectively with colleagues through transparent data lineage tracking.
    • Become a valuable asset in any data-driven organization.

    Why choose CloudThat as a Data Integration with Cloud Data Fusion 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.

    Course Outline: Download Course Outline


    • Course Introduction.


    • Data integration: what, why, challenges
    • Data integration tools used in industry
    • User personas
    • Introduction to Cloud Data Fusion
    • Data integration critical capabilities
    • Cloud Data Fusion UI components


    • Graded lab, quiz, discussion activity.


    • Cloud Data Fusion architecture
    • Core concepts
    • Data pipelines and directed acyclic graphs (DAG)
    • Pipeline Lifecycle
    • Designing pipelines in Pipeline Studio


    • Graded lab and quiz


    • Branching, Merging and Joining
    • Actions and Notifications
    • Error handling and Macros
    • Pipeline Configurations, Scheduling, Import and Export


    • Graded labs and quiz


    • Schedules and triggers
    • Execution environment: Compute profile and provisioners
    • Monitoring pipelines


    • Quiz


    • Wrangler
    • Directives
    • User-defined directives


    • Graded lab and quiz


    • Understand the data integration architecture.
    • List various connectors.
    • Use the Cloud Data Loss Prevention (DLP) API.
    • Understand the reference architecture of streaming pipelines.
    • Build and execute a streaming pipeline.


    • Graded lab, quiz, discussion activity.


    • Metadata
    • Data lineage


    • Graded lab and quiz.


    • Course Summary

    Course Fee

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    Course ID: 19476

    Course Price at

    $799 + 0% TAX
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    Frequently Asked Questions

    Cloud Data Fusion offers a wide range of benefits, including: Simplified data unification: Unify data from diverse sources and formats seamlessly with pre-built connectors and custom development options. Streamlined workflows: Automate data integration tasks and simplify complex workflows for improved efficiency. Visual pipeline design: Design and execute both batch and real-time data pipelines effortlessly using the intuitive visual interface. Enhanced collaboration: Gain clear insights into data lineage for transparent collaboration and data governance. Flexibility and scalability: Deploy pipelines on various execution engines like Cloud Dataproc for Apache Spark based on your needs.

    This course is ideal for: Data Engineers: Learn to build and manage efficient data integration solutions using Cloud Data Fusion. Data Analysts: Gain the skills to access and analyze data from diverse sources for deeper insights.

    To get the most out of this course, participants should have: Completed "Big Data and Machine Learning Fundamentals" on Google Cloud Platform. Basic understanding of data integration concepts and challenges.

    Yes, this course features 50-60% hands-on lab sessions, allowing you to actively apply your learnings through practical exercises and real-world scenarios.

    The course covers a comprehensive range of topics, including: Understanding data integration challenges and Cloud Data Fusion capabilities. Identifying use cases for Cloud Data Fusion. Exploring the core components of Cloud Data Fusion. Designing and executing data pipelines. Leveraging Wrangler for data transformations. Integrating data from various sources and formats. Configuring execution environments and monitoring pipelines. Understanding data lineage and its role in collaboration.

    By the end of this course, you will be able to: Design and implement data integration solutions using Cloud Data Fusion. Integrate data from diverse sources and formats effectively. Process both batch and real-time data with Cloud Data Fusion. Monitor and troubleshoot pipeline execution. Leverage data lineage for enhanced collaboration and data governance.

    This course is available in both virtual and face-to-face formats, depending on your preference and availability.

    Please visit our website or contact us directly to inquire about registration options and upcoming course dates.

    We offer resume-building, interview preparation, and career support services to help you leverage your newly acquired skills for career advancement.

    Enquire Now