Course Overview:

This course is designed for professionals who need to architect and implement real-time data processing and analytics solutions on Google Cloud. It covers essential services like Pub/Sub for messaging, Dataflow for streaming pipelines, and high-throughput features of BigQuery and Bigtable. Learners will gain practical experience in building resilient and scalable streaming systems that can handle large volumes of data. 

After completing this course, participants will be able to:

  • Describe the concepts of streaming data and its importance.
  • Utilize Pub/Sub for serverless messaging.
  • Build streaming data pipelines using Dataflow.
  • Leverage high-throughput streaming features of BigQuery and Bigtable.
  • Optimize BigQuery queries for performance.
  • Understand and apply advanced BigQuery functionality.

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Key Features:

  • Practical, Hands-On Labs: The course includes interactive labs where you’ll get hands-on experience with core Google Cloud products.

  • End-to-End Streaming Workflow Coverage: Learn the full lifecycle of a streaming project, from data ingestion to real-time analytics and dashboarding.

  • Tool-Centric Approach: Gain practical experience with key services like Pub/Sub, Dataflow, BigQuery, and Bigtable.

  • Resilience and Performance Focus: The curriculum emphasizes building systems that are not only functional but also resilient, high-performing, and scalable.

  • Intermediate-Level Curriculum: Designed for individuals with some prior understanding of data concepts and an interest in real-time data processing.

Who should Attend?

  • Data Engineers
  • Data Architects
  • Developers who are responsible for designing and implementing streaming data pipelines and real-time analytics on Google Cloud.

Prerequisites:

To get the most out of this course, it is recommended that participants have:
  • A basic understanding of data types, data analysis concepts, and foundational knowledge of the Google Cloud Platform is recommended.

    • Why choose CloudThat as your 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:

    • This course is a one-day, intensive, hands-on training that teaches you to build robust streaming analytics systems using core Google Cloud services like Pub/Sub, Dataflow, BigQuery, and Bigtable.

    Course Outline: Download Course Outline

    Topics

    • Streaming vs batch
    • Use cases

    Objectives

    • Define streaming data
    • Identify common use cases
    • Understand challenges in streaming systems

    Activities

    • Lecture
    • Demo
    • Discussion

    Topics

    • Module introduction
    • Introduction to Pub/Sub
    • Pub/Sub push versus pull
    • Publishing with Pub/Sub code
    • Summary

    Objectives

    • Describe Pub/Sub components
    • Explain message flow and delivery guarantees
    • Apply filtering and ordering

    Activities

    • Lecture
    • Demo
    • Hands-on lab

    Topics

    • Module introduction
    • Streaming data challenges
    • Dataflow windowing

    Objectives

    • Implement windowing strategies
    • Use triggers effectively
    • Apply stateful processing in pipeline

    Activities

    • Lecture
    • Demo
    • Lab

    Topics

    • Module introduction
    • Streaming into BigQuery and visualizing results
    • High-throughput streaming with Bigtable
    • Optimizing Cloud Bigtable performance

    Objectives

    • Stream data into BigQuery and Bigtable
    • Handle schema changes
    • Optimize performance

    Activities

    • Lecture
    • Demo
    • Lab

    Topics

    • Module introduction
    • Analytic window functions
    • GIS functions
    • Performance considerations

    Objectives

    • Use advanced BigQuery features
    • Improve query performance
    • Integrate with BI tools

    Activities

    • Lecture
    • Demo
    • Lab

    Topics

    • Key takeaways
    • Review
    • Next steps

    Objectives

    • Summarize course content
    • Reinforce learning
    • Plan next steps

    Activities

    • Review session
    • Q&A
    • Wrap-up

    Certification Details:

      CloudThat Course Completion Certificate

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    Course ID: 26091

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    FAQs:

    This course focuses on building robust and resilient streaming analytics systems on Google Cloud, covering the entire pipeline from data ingestion to real-time analysis.

    This is an intensive, 1-day, instructor-led training that combines theory with hands-on labs and demos to ensure an interactive learning experience.

    Learners will complete multiple labs, including tasks like publishing data into Pub/Sub, building streaming pipelines with Dataflow, and optimizing BigQuery queries for performance.

    Yes, the course is designed to show how services like Pub/Sub, Dataflow, BigQuery, and Bigtable work together to create an end-to-end streaming solution.

    The course covers high-throughput streaming features of BigQuery, as well as advanced functionality and performance optimization for real-time analytics.

    The course emphasizes real-world applications, helping learners use streaming data to gain instant insights and support real-time, data-driven decision-making.

    This course provides a strong foundation in streaming analytics. Learners interested in more specialized or advanced topics can pursue follow-up courses.

    Yes, one of the labs, "Streaming Analytics and Dashboards," shows you how to stream data into BigQuery and visualize the results.

    A basic understanding of data concepts and foundational knowledge of the Google Cloud Platform is recommended.

    Module 4 focuses on the high-throughput streaming capabilities of BigQuery and Bigtable, teaching you how to build fast and scalable data systems.

    Enquire Now