Build Streaming Data Pipelines on Google Cloud Training

  • Delivery Method: Online Instructor-Led / Classroom Based / Onsite
  • Participation Model: Public Training / Private / In-House Training
  • Duration: 1 Day
  • Level: Intermediate
  • Price: From €1,400 +TAX
  • Upcoming Date:

In this course you will get hands-on in order to work through real-world challenges faced when building streaming data pipelines. The primary focus is on managing continuous, unbounded data with Google Cloud products.



Prerequisites

Participants should have:

  • Proficiency in a common programming language like Python
  • A strong understanding of SQL
  • Data fundamentals like data modelling, formats, and ETL/ELT processes
  • Familiarity with the Google Cloud Platform (GCP)

Target audience

This course is designed for:

  • Data Engineers
  • Data Analysts
  • Data Architects

For corporate groups, we can organize this training as an on-site private group.
HAVELSAN
ASELSAN
PepsiCo Türkiye
JTI TÜTÜN ÜRÜNLERİ SANAYİ A.Ş.
ING Bank
DHL
MASTERCARD
Huawei
TotalEnergies
Mercedes-Benz Türk A.Ş.
Goodyear
FORD OTOMOTIV SANAYI A.S.
3M COMPANY
Schneider Electric
Central Bank of Azerbaijan
BP Petrolleri
Procter & Gamble (P&G)
Qatar Foundation
Bank Of China
GlaxoSmithKline (GSK)
MORGAN STANLEY & CO Inc
Novo Nordisk
DEUTSCHE BANK
Azerbaycan Cumhuriyeti Emek ve Ahalinin Sosyal Güvenliği Bakanlığı
ACCENTURE

What You Will Learn

By the end of this course, learners will be able to:

  • Ingest and manage streaming data using Pub/Sub and Managed Service for Apache Kafka
  • Build and deploy streaming data pipelines with Dataflow
  • Implement streaming data solutions for real-time analytics and application serving with BigQuery and Bigtable

Training Outline

Module 1

Topics

  • This module introduces the fundamentals of building streaming data pipelines on Google Cloud, providing a foundation for the entire course. It begins by outlining the course's overall learning objectives and introducing a practical, hands-on scenario that will be used throughout the content and labs to make the concepts tangible.

Objectives

  • Introduce the course learning objectives, and the scenario that will be used to bring hands on learning to building streaming data pipelines. Describe the concept of streaming data pipelines, challenges associated with it, and the role of these pipelines within the data engineering process.

Module 2

Topics

  • This module provides an introduction to streaming data use cases and architectures. You will learn about the applications and common architectural patterns for real-time data processing across four key scenarios: Streaming ETL, Streaming AI/ML, Streaming Application, and Reverse ETL.

Objectives

  • Learn about the various streaming use cases and their applications, including Streaming ETL, Streaming AI/ML, Streaming Application, and Reverse ETL. Identify and describe common sampe architectures for streaming data including Streaming ETL, Streaming AI/ML, Streaming Application, and Reverse ETL.

Module 3

Topics

  • This module provides a comprehensive overview of building streaming data pipelines on Google Cloud, covering the core services for messaging, processing, and analysis. It's designed to give you a hands-on understanding of how these components work together in a cohesive, real-time architecture.

Objectives

  • Define messaging concepts
  • Use the console to create various PS and Kafka elements
  • Know when to use Pub/Sub or Managed Service for Apache Kafka
  • Describe the DF service and challenges with streaming data
  • Build and deploy a streaming pipeline
  • Explore various data ingestion methods into BQ
  • Learn about BigQuery continuous queries and using BigQuery ETL and reverse ETL
  • Configure Pub/Sub to BigQuery streaming
  • Architecting BigQuery into your streaming pipelines
  • Describe the big picture of data movement and interaction
  • Establish a streaming pipeline from Dataflow to Bigtable
  • Analyze the BT continuous data stream for trends using BQ
  • Synchronize the trends analysis back into the user-facing application

Module 4

Topics

  • This module provides a comprehensive wrap-up of the course, summarizing the key concepts you've learned for building resilient and robust streaming data pipelines on Google Cloud.

Objectives

  • Summarize the course and what you learned about the various Google products, what you achieved throughout the course, and what you're enabled to do next as a result of completing the course.

Exams and assessments

There is no specific certification related to this course.

Hands-on learning

There are four practical labs in this course.

Why Choose Us

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Experience Build Streaming Data Pipelines on Google Cloud through Bilginç IT Academy's live and interactive virtual classroom environment. Join a Public course as an individual delegate or arrange a dedicated Private / In-house online training program exclusively for your organization.

  • Delivery Method: Online Instructor-Led
  • Participation Model: Public / Private (In-house)
  • Live and Interactive Training: Connect with your instructor in real time and actively participate through discussions, Q&A sessions, practical exercises, and group activities.
  • Flexible Participation: Join the training from your home, office, or any location with a suitable internet connection.
  • Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
  • Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's professional training experience since 1995.
  • Worldwide Access: Join our live virtual classrooms from anywhere in the world or arrange a dedicated online training program for your organization.

Experience Build Streaming Data Pipelines on Google Cloud in a professional face-to-face classroom environment. Classroom Based training can be delivered as a Public course open to individual delegates or as a dedicated Private / In-house class exclusively for your organization.

  • Delivery Method: Classroom Based
  • Participation Model: Public / Private (In-house)
  • Face-to-Face Learning: Interact directly with your instructor and fellow delegates in an engaging classroom environment.
  • Experienced Trainers: Learn from specialists with extensive industry experience and practical real-world knowledge.
  • Professional Training Environment: Attend training in comfortable, well-equipped classrooms designed to support effective learning.
  • Practical Learning: Depending on the course, reinforce your knowledge through hands-on exercises, scenarios, case studies, and instructor-led activities.

Arrange Build Streaming Data Pipelines on Google Cloud as a dedicated Onsite training program for your organization. Bilginç IT Academy trainers can deliver the training at your office or another location of your choice, with the program planned around your team's requirements and business objectives.

  • Delivery Method: Onsite
  • Participation Model: Private (In-house)
  • Training at Your Preferred Location: Organize the training at your company's office or another location selected by your organization.
  • Tailored Course Content: Adapt the training program to your projects, team structure, existing skill levels, and specific business requirements.
  • Team-Focused Learning: Develop your team around a shared knowledge base while strengthening internal collaboration and knowledge transfer.
  • Flexible Scheduling: Plan the training dates, location, and program according to your organization's operational requirements.
  • Worldwide Onsite Delivery: Bilginç IT Academy trainers can travel internationally to deliver dedicated training programs at your preferred location.
Contact us for more detail about our trainings and for all other enquiries!

Build Streaming Data Pipelines on Google Cloud Training Course Schedule

Join our public courses in our Istanbul, London and Ankara facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

For corporate groups, we can organize this training as an on-site private group.
12 October 2026 (1 Day)
Istanbul, Ankara, London
€1,400 +TAX
16 October 2026 (1 Day)
Istanbul, Ankara, London
€1,400 +TAX
03 November 2026 (1 Day)
Istanbul, Ankara, London
€1,400 +TAX
05 November 2026 (1 Day)
Istanbul, Ankara, London
€1,400 +TAX
07 November 2026 (1 Day)
Istanbul, Ankara, London
€1,400 +TAX
20 November 2026 (1 Day)
Istanbul, Ankara, London
€1,400 +TAX
22 November 2026 (1 Day)
Istanbul, Ankara, London
€1,400 +TAX
23 November 2026 (1 Day)
Istanbul, Ankara, London
€1,400 +TAX

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