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Master Google Cloud Platform - Data Analytics and Data Engineering Certification

Master Google Cloud Platform Data Engineering with Koenig. Build scalable pipelines in BigQuery and Dataflow to earn your Professional Data Engineer certification.

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Google Cloud Platform - Data Analytics and Data Engineering

Explore Google Cloud Platform - Data Analytics and Data Engineering certification and training courses — delivered live by certified instructors.

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Browse all certification courses across Microsoft, Cisco, AWS, CompTIA, VMware and more
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Associate
Optimal Data Usage in Manufacturing with Industrial Edge (IE-ONBOARD)
3 days · 24hrs
8,931+ 4.6 On Request
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Turbonomic: Cloud Optimization (TN910G)
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CQL 201: Designing and Optimizing CQL Queries
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ZTS – Introduction to Zerto
1 day · 6hrs
8,377+ 4.7 On Request
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Creating Data Connections in SAP Analytics Cloud
3 days · 24hrs
7,940+ 4.5 On Request
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Associate
Update Training for Platform 2026
2 days · 16hrs
1,137+ 4.7 On Request
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Associate
Developing Applications with Google Cloud Platform
3 days · 24hrs
1,467+ 4.7 USD 1,200
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Associate
Data Analytics in Google Cloud Platform
2 days · 16hrs
5,154+ 4.9 USD 850
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Associate
Data Engineering on Google Cloud Platform
8 days · 64hrs
3,937+ 4.7 USD 3,100
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Associate
Developing Data Models with LookML
5 days · 40hrs
2,373+ 4.8 On Request
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Associate
Deploying and Managing Windows Workloads on Google Cloud
2 days · 16hrs
5,382+ 4.7 On Request
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Associate
GCP Big Data: BigQuery, Dataflow & Dataproc
5 days · 40hrs
5,458+ 4.8 On Request
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Google Cloud Platform - Data Analytics and Data Engineering Certification Training with Koenig Solutions

Course Overview

What is Google Cloud Platform - Data Analytics and Data Engineering?

Google Cloud Platform — Data Analytics and Data Engineering is a unified, AI-ready data analytics platform published by Google Cloud, designed to help organizations turn big data into valuable business insights through scalable, serverless data processing and integrated machine learning. It serves as the central data and AI foundation within Google Cloud’s ecosystem, unifying data warehousing, data lakes, streaming analytics, and AI workflows into a single platform. Core components include BigQuery, a fully managed, serverless data warehouse with built-in machine learning and support for multimodal data; BigQuery Data Transfer Service for automated data ingestion; Dataflow, a serverless platform for stream and batch processing using Apache Beam; BigLake, a unified storage engine that enables secure, governed access to data across open formats like Apache Iceberg, Hudi, and Delta Lake; and BigQuery Studio, a collaborative workspace supporting SQL, Python, and PySpark for end-to-end data-to-AI workflows. This technology is for data engineers, data analysts, data scientists, and machine learning practitioners who need a scalable, integrated environment to process, analyze, and govern structured and unstructured data across batch and real-time use cases, while leveraging built-in AI and machine learning capabilities to derive actionable insights.

Cloud Core Concepts

Explain core cloud infrastructure and services on Google Cloud

Data Storage Fundamentals

Use Cloud Storage, BigQuery, and Firestore for data storage tasks

Data Ingestion Tools

Implement pipelines using Dataflow, Pub/Sub, and Dataprep by Trifacta

Security and IAM

Apply Identity and Access Management policies to data services

Data Processing Models

Design batch and stream processing workflows with managed services

Infrastructure as Code

Deploy data resources using Terraform or Deployment Manager

Who Should Take This Course?

Data Engineer

Design and build data pipelines using Dataflow, Pub/Sub and BigQuery

Data Analyst

Analyze and visualize data using BigQuery, Looker and Data Studio

Database Engineer

Manage and migrate databases like Cloud SQL, Spanner and Bigtable

Data Scientist

Prepare data and build ML models using Vertex AI and BigQueryML

ML Engineer

Deploy and scale machine learning models on Google Cloud's AI platform

DevOps Engineer

Orchestrate and automate data workflows using Cloud Composer and Workflows

Career Outcomes

What Google Cloud Platform - Data Analytics and Data Engineering Certification Opens Up For You

Based on industry data from certified Google Cloud Platform - Data Analytics and Data Engineering professionals worldwide

71%

of certified professionals reported that their Google Professional Data Engineer certification enabled their employer to scale operations more effectively (2024 Google Cloud Certification Impact Report).

Salary Impact
+24%

Average salary increase reported after obtaining a Google Cloud Platform - Data Analytics and Data Engineering certification

Typical Salary Range (Global)
Entry
$75,000–$95,000
Mid
$95,000–$120,000
Senior
$120,000–$145,000

*Source: Glassdoor / LinkedIn 2025

Job Roles
  • Data Engineer
  • Data Analyst
  • Database Engineer
  • Cloud Data Architect
  • GCP Data Specialist
  • Big Data Engineer
  • Data Platform Engineer
  • Analytics Engineer
  • ETL Developer
  • Data Solutions Consultant
Companies Hiring
Google Cognizant IBM EY Wells Fargo HCLTech Fueled EPAM Accenture Deloitte Tata Consultancy Services Infosys Capgemini PwC Tech Mahindra LTI Mindtree

and 5,000+ organisations worldwide seeking Google Cloud Platform - Data Analytics and Data Engineering certified professionals

The building blocks every Google Cloud Platform - Data Analytics and Data Engineering solution is made of

01
BigQuery
BigQuery is a fully managed data warehouse on Google Cloud Platform - Data Analytics and Data Engineering that enables scalable analytics. Practitioners build real-time dashboards, predictive models, and AI-driven insights using SQL and embedded machine learning.
02
Dataflow
Dataflow is a fully managed service for stream and batch data processing on Google Cloud Platform - Data Analytics and Data Engineering. Practitioners build scalable ETL pipelines, real-time analytics, and streaming ML workflows using Apache Beam.
03
Dataproc
Dataproc is a serverless and managed platform for distributed data processing on Google Cloud Platform - Data Analytics and Data Engineering. Practitioners build large-scale ETL, SQL workloads, and BigLake pipelines with zero infrastructure management.
04
Dataform
Dataform is a SQL-based tool for building and managing data transformation pipelines in BigQuery on Google Cloud Platform - Data Analytics and Data Engineering. Practitioners build version-controlled, testable SQL workflows with dependency management.
05
Data Catalog
Data Catalog is a unified metadata management service on Google Cloud Platform - Data Analytics and Data Engineering. Practitioners build governed data environments with automated metadata discovery, data lineage, and AI-powered context for analytics.
06
BigLake
BigLake is a managed platform on Google Cloud Platform - Data Analytics and Data Engineering combining data lakes and warehouses. Practitioners build open-format analytics environments with unified governance, high-performance Spark, and AI integration.
BigQuery & Lakehouse
BigQuery is a fully managed, serverless data warehouse featuring built-in ML and geospatial analysis. Google Cloud Platform - Data Analytics and Data Engineering supports Apache Iceberg for open-format data lakes, ensuring unified governance and seamless interoperability between Spark and BigQuery.
Integration Connectors
Integration Connectors deliver standardized access to Google Cloud Platform - Data Analytics and Data Engineering services and third-party apps like Salesforce, Snowflake, and Amazon S3. Over 50 GA connectors enable secure, no-code integrations through a unified, high-performance API interface.
✦ Sample Certificate

Your Google Cloud Platform - Data Analytics and Data Engineering Certification Awaits

See what your official Google Cloud Platform - Data Analytics and Data Engineering certification looks like. Download a sample — then let our advisors map the fastest path to earning the real one.

Sample Google Cloud Platform - Data Analytics and Data Engineering certification issued by Koenig Solutions — official Microsoft Authorized Learning Partner
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Learning Formats

Learning That Fits Your Life

Four formats. One quality standard. Every option comes with the same expert instructors, official courseware, and money-back guarantee.

Classroom Training Most Popular

Classroom Training

Traditional, instructor-led learning in popular global destinations.

Classroom Training

  • Hands-on lab sessions
  • Face-to-face with expert instructors
  • Global training centers
Live Online Classes Best Value

Live Online Classes

Flexible virtual learning with expert instructors from the comfort of your own space.

Live Online Classes

  • Live instructor-led sessions
  • Interactive Q&A & labs
  • Train from anywhere
Fly-Me-A-Trainer (FMAT) Fastest

Fly-Me-A-Trainer (FMAT)

Flexible on-site learning for larger groups. Fly an expert to your location anywhere in the world.

Fly-Me-A-Trainer (FMAT)

  • Expert trainer at your site
  • Custom schedule & pace
  • Any location worldwide
Flexi (Self-Paced) Most Flexible

Flexi (Self-Paced)

Self-paced learning with edited lectures, courseware, hands-on labs, and optional doubt clearing sessions.

Flexi (Self-Paced)

  • Edited video lectures
  • Hands-on labs & courseware
  • Optional doubt clearing sessions
1-on-1 Training Most Focused

1-on-1 Training

Dedicated instructor assigned exclusively to you for maximum personalisation and knowledge retention.

1-on-1 Training

  • Personalised schedule
  • Instructor adapts to your pace
  • Max knowledge retention
Customised Programmes Bespoke

Customised Programmes

Bespoke curricula tailored to your tech stack, business processes, and learning goals.

Customised Programmes

  • Custom course content
  • Fits your tech stack
  • Aligned to business goals
Webinar as a Service New

Webinar as a Service

Professionally hosted live webinars delivered to your global workforce at scale.

Webinar as a Service

  • Global workforce delivery
  • Live hosted sessions
  • Scalable & trackable
Qubits Assessment

Qubits

AI-powered assessments to benchmark skills, identify gaps, and measure training ROI.

Qubits

  • Skill benchmarking
  • Gap identification
  • Training ROI measurement
The Honest Comparison
How Koenig Stacks Up Against Every Alternative

Every factor that determines whether you actually pass your Google Cloud Platform - Data Analytics and Data Engineering exam — rated across every training format available.

Koenig
Official ALP Partner
12
/12 criteria ✓
ALP Provider
Other authorised partner
5
/12 criteria
Legacy Provider
Traditional classroom
2
/12 criteria
Self-Paced Platform
On-demand video
2
/12 criteria
Free Platform
Self-study / free tier
4
/12 criteria
Criteria Koenig Free Platform Self-Paced Platform ALP Provider Legacy Provider Note
Trainer Quality
MCT-Certified Trainers
Live Instructor-Led
1-on-1 Private Training Partial
Google Cloud Authorization
Official Google ALP Status
Official Google Courseware Partial
Training Credits Accepted
Flexibility and Access
Any-Day/Flexi Start
On-Site or Fly-Me Partial
Global Delivery Reach Partial
Results and Trust
Exam Pass Rate N/A N/A N/A N/A Row omitted on live page: unverified for this vendor
Entry Price ~$745 · best value Free $15-30/mo ~$1,500+ ~$1,200
Verified Reviews 18,400+ · 4.9★ N/A N/A Limited Limited Row omitted on live page: unverified for this vendor

Data sourced from public pricing pages and review platforms. Accurate as of March 2026. Partial = available in select regions only.

Recognition

Awards & Recognition

Recognized by global vendors and quality bodies for training excellence

10+
Awards & Certifications
6+
Global Partners
15 Yrs
Great Place to Work
Microsoft Partner of Year
Winner of Microsoft Training Services Partner of the Year Award

Winner of Microsoft Training Services Partner of the Year Award

2025
Winner of Microsoft's ANZ Superstar Campaign

Winner of Microsoft's ANZ Superstar Campaign

2024
Winner of Microsoft's Asia Superstar Campaign

Winner of Microsoft's Asia Superstar Campaign

2022
Finalist – AWS Partner of the Year

Finalist – AWS Partner of the Year

2024
Winner of EC-Council ATC of the Year Award

Winner of EC-Council ATC of the Year Award

2024
Winner of the PECB Titanium Partner Award

Winner of the PECB Titanium Partner Award

2024
Certified as a Great Place to Work
Great Place to Work

Certified as a Great Place to Work

2011–2025
Winner of RedHat Gold Partner of the Year – Non-Retail (GLS India)

Winner of RedHat Gold Partner of the Year – Non-Retail (GLS India)

2025
Winner of RedHat Gold Partner of the Year – Non-Retail (GLS India)

Winner of RedHat Gold Partner of the Year – Non-Retail (GLS India)

2024
Winner of the Red Hat Partner of the Year Award

Winner of the Red Hat Partner of the Year Award

2023
Reviews

What our 500K+ alumni say

Verified reviews from learners certified on Azure, AI, Security, and more.

18,400+
Verified Reviews
4.9 / 5
Average Rating
95%
Would Recommend
1M+
Professionals Trained
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    AZ-104 Certified

    ✓ Verified
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    Sarah K.

    Sarah K.

    CISO, Financial Services

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    Business Intelligence Lead

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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.

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    Azure Administrator

    AZ-104 Certified

    ✓ Verified
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    “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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    Enterprise Client

    ✓ Verified
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    100+ Learners Trained

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    AZ-400 Team Training

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    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.”

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    Mei W.

    Data Platform Engineer

    DP-600 Certified

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

    Carlos R.

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    AZ-400 Team Training

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Got Questions? We've Got Answers.

Everything you need to know about Google Cloud Platform - Data Analytics and Data Engineering certification training with Koenig Solutions.

Google Cloud Platform - Data Analytics and Data Engineering is a serverless, scalable suite of services for ingesting, processing, analyzing, and governing data, centered on BigQuery, Dataflow, Looker, and Dataplex. It enables organizations to build real-time data pipelines, perform advanced analytics, and integrate machine learning. Key components include BigQuery for data warehousing, Dataflow for stream and batch processing, and Looker for business intelligence.
This training is for data engineers, data analysts, cloud architects, and IT professionals with 3+ years of industry experience, including at least 1 year with Google Cloud. It serves mid-to-senior level practitioners aiming to design and manage data processing systems. Beginners should start with foundational GCP courses before advancing to data engineering topics.
Learners need foundational knowledge of Google Cloud Platform, including core services like Compute Engine and Cloud Storage, and proficiency in SQL and Python. Familiarity with data modeling and ETL processes is essential. No formal certification is required, but hands-on experience with cloud environments significantly improves course outcomes.
The training prepares for the Google Cloud Professional Data Engineer (PDE) certification (exam code: PDE), which validates skills in designing data processing systems, ingesting and processing data, storing data, preparing data for analysis, and maintaining data workloads. It emphasizes real-world use of BigQuery, Dataflow, Pub/Sub, and machine learning integration.
The Professional Data Engineer exam consists of 40–50 multiple choice and multiple select questions, including case study-based items, and lasts 2 hours. Google does not publish an exact passing score; results are reported as pass or fail. The certification is valid for 2 years, with a renewal exam available after expiration.
Training durations range from 3 to 5 days depending on the course, with options for live online instructor-led, classroom, private batch, and 1-on-1 sessions. Koenig offers guaranteed-to-run dates and flexible start times, including weekend classes. All formats include hands-on labs and access to lab environments for 30 days post-training.
Still have questions?
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Across 50+ Countries

From our headquarters in India to training centers across UAE, Iraq, Saudi Arabia, UK, USA, Singapore, Australia, and more — Koenig delivers Microsoft certification training in 50+ countries.

50+
Countries
500K+
Trained
33+
Years
95%
Pass Rate
Koenig training locations worldwide