Building Batch Data Pipelines on Google Cloud Training in Kazakhstan

  • Delivery Method: Online Instructor-Led / Classroom Based / Onsite
  • Participation Model: Public Training / Private / In-House Training
  • Duration: 1 Day
  • Level: Intermediate
  • Price: From USD 1,550 +TAX
  • Upcoming Date:

In this intermediate course, you will learn to design, build, and optimize robust batch data pipelines on Google Cloud. Moving beyond fundamental data handling, you will explore large-scale data transformations and efficient workflow orchestration, essential for timely business intelligence and critical reporting.

Get hands-on practice using Dataflow for Apache Beam and Serverless for Apache Spark (Dataproc Serverless) for implementation, and tackle crucial considerations for data quality, monitoring, and alerting to ensure pipeline

reliability and operational excellence. A basic knowledge of data warehousing, ETL/ELT, SQL, Python, and Google Cloud concepts is recommended.



Prerequisites

Participants should have:

  • Basic proficiency with Data Warehousing and ETL/ELT concepts
  • Basic proficiency in SQL
  • Basic programming knowledge (Python recommended)
  • Familiarity with gcloud CLI and the Google Cloud console
  • Familiarity with core Google Cloud concepts and services

Target audience

This course is designed for:

  • Data Engineers
  • Data Analysts

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:

  • Determine whether batch data pipelines are the correct choice for your business use case.
  • Design and build scalable batch data pipelines for high-volume ingestion and transformation.
  • Implement data quality controls within batch pipelines to ensure data integrity.
  • Orchestrate, manage, and monitor batch data pipeline workflows, implementing error handling and observability using logging and monitoring tools.

Training Outline

Module 1 When to choose batch data pipelines

Topics

  • You will learn the critical role of a data engineer in developing and maintaining batch data pipelines, understand their core components and lifecycle, and analyze common challenges in batch data processing. You'll also identify key Google Cloud services that address these challenges.

Objectives

  • Explain the critical role of a data engineer in developing and maintaining batch data pipelines.
  • Describe the core components and typical lifecycle of batch data pipelines from ingestion to downstream consumption.
  • Analyze common challenges in batch data processing, such as data volume, quality, complexity, and reliability, and identify key Google Cloud services that can address them.

Module 2 Design and build batch data pipelines

Topics

  • You will design scalable batch data pipelines for high-volume data ingestion and transformation. You'll also optimize batch jobs for high throughput and cost-efficiency using various resource management and performance tuning techniques.

Objectives

  • Design scalable batch data pipelines for high-volume data ingestion and transformation.
  • Optimize batch jobs for high throughput and cost-efficiency using various resource management and performance tuning techniques.

Module 3 Control data quality in batch data pipelines

Topics

  • You will develop data validation rules and cleansing logic to ensure data quality within batch pipelines. You'll also implement strategies for managing schema evolution and performing data deduplication in large datasets.

Objectives

  • Develop data validation rules and cleansing logic to ensure data quality within batch pipelines.
  • Implement strategies for managing schema evolution and performing data deduplication in large datasets.

Module 4 Orchestrate and monitor batch data pipelines

Topics

  • You will orchestrate complex batch data pipeline workflows for efficient scheduling and lineage tracking. You'll also implement robust error handling, monitoring, and observability for batch data pipelines.

Objectives

  • Orchestrate complex batch data pipeline workflows for efficient scheduling and lineage tracking
  • Implement robust error handling, monitoring, and observability for batch data pipelines

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

Leading UK-based global training provider since 1995.

Experience Building Batch Data Pipelines on Google Cloud in Kazakhstan 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 Kazakhstan or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience Building Batch Data Pipelines on Google Cloud through face-to-face Classroom Based training in Kazakhstan. Training can be delivered as a Public course open to individual delegates or as a dedicated Private / In-house class 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 Building Batch Data Pipelines on Google Cloud in Kazakhstan 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: Arrange the training in Kazakhstan or at another preferred location worldwide. Bilginç IT Academy trainers can travel to your selected location to deliver the dedicated training program.
Contact us for more detail about our trainings and for all other enquiries!

Building Batch Data Pipelines on Google Cloud Training Course in Kazakhstan Schedule

Join our public live virtual trainings remotely from Kazakhstan. Private group trainings can also be organized at your preferred location in Kazakhstan, around your schedule.

For corporate groups, we can organize this training as an on-site private group.
19 қазан 2026 (1 Day)
Almaty, Astana, Shymkent
USD 1,550 +TAX
31 қазан 2026 (1 Day)
Almaty, Astana, Shymkent
USD 1,550 +TAX
06 қараша 2026 (1 Day)
Almaty, Astana, Shymkent
USD 1,550 +TAX
07 қараша 2026 (1 Day)
Almaty, Astana, Shymkent
USD 1,550 +TAX
09 қараша 2026 (1 Day)
Almaty, Astana, Shymkent
USD 1,550 +TAX
10 қараша 2026 (1 Day)
Almaty, Astana, Shymkent
USD 1,550 +TAX
20 қараша 2026 (1 Day)
Almaty, Astana, Shymkent
USD 1,550 +TAX
24 қараша 2026 (1 Day)
Almaty, Astana, Shymkent
USD 1,550 +TAX

Kazakhstan stands as the preeminent technological and financial powerhouse of Central Asia, with the dynamic cities of Almaty and Astana serving as global magnets for innovation. The country is home to the Astana Hub, an international tech startup center, and Nazarbayev University, both of which are at the forefront of pioneering research in Artificial Intelligence, Blockchain, and Big Data analytics. Kazakhstan has achieved worldwide recognition for its advancements in digital mining and financial technologies, supported by a national strategy that prioritizes high-quality IT education and continuous professional development. Our comprehensive training programs are strategically designed to empower professionals in Kazakhstan to master complex corporate systems and lead large-scale digital innovation processes. By bridging the gap between local talent and global industry standards, we ensure that the Kazakh workforce remains highly competitive in the rapidly evolving Eurasian digital economy.

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