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We're here to help you find itKeboola Data Processing training helps you build automated ETL pipelines and transformations. Master these workflows through hands-on labs and expert instruction to earn your Data Engineer Certificate.
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Data Processing is the systematic conversion of raw data into meaningful information through stages such as collection, preparation, transformation, analysis, and storage, enabling organizations to derive actionable insights. Published by leading cloud and software vendors, it solves the challenge of managing vast, complex datasets across distributed systems. Within modern technology stacks, it serves as the foundational layer for analytics, machine learning, and real-time decision-making. Core components include AWS Glue, a serverless ETL service for discovering, cleaning, and integrating data; Amazon EMR for running big data frameworks like Apache Spark and Flink; Amazon Athena for serverless SQL querying of data in S3; and Amazon Managed Workflows for Apache Airflow (MWAA) for orchestrating complex pipelines. Google Cloud counterparts include BigQuery for scalable analytics, Dataflow for stream and batch processing, and Pub/Sub for real-time messaging, all supporting end-to-end data workflows. This technology is for data engineers, analytics professionals, and machine learning practitioners who require reliable, scalable systems to transform and manage data at scale, enabling accurate reporting, advanced analytics, and AI-driven applications.
Linux Fundamentals
Administer Linux systems with supported distributions and shell commands
Java Runtime
Install and configure OpenJDK 11 or Oracle Java 17
Containerization
Deploy and manage applications using Docker containers
Kubernetes Cluster
Operate a Kubernetes cluster with RBAC and persistent volumes
Data Pipeline Tools
Use StreamSets Data Collector version 3.19.0 or later
Storage Systems
Configure storage with dynamic provisioning and 60 GB capacity
The building blocks every Data Processing solution is made of
See what your official Data Processing certification looks like. Download a sample — then let our advisors map the fastest path to earning the real one.
AWS-DEA-C01AWS Certified Data Engineer - Associate
GCP-PDEGoogle Professional Data Engineer
DP-203Azure Data Engineer Associate
PL-300Microsoft Power BI Data Analyst
DEA-7TT2Dell Technologies Data Engineering Associate
GCP-PDE-PROGoogle Cloud Professional Data Engineer
Official credential badges — shareable on LinkedIn
Four formats. One quality standard. Every option comes with the same expert instructors, official courseware, and money-back guarantee.
Every factor that determines whether you actually pass your Data Processing exam — rated across every training format available.
| Criteria | Koenig | ALP Provider | Legacy Provider | Self-Paced Platform | Free Platform |
|---|---|---|---|---|---|
| Trainer Quality & Credentials | |||||
| Google Certified Professional Instructors | |||||
| Live Instructor-Led | Partial | ||||
| 1-on-1 Private Training | |||||
| Google Cloud Authorization | |||||
| Official Google ALP Status | |||||
| Official Google Courseware | Partial | ||||
| ESI / EA Credits Accepted | |||||
| Flexibility & Access | |||||
| Any-Day / Flexi Start | |||||
| On-Site / Fly-Me Trainer | Partial | ||||
| Global Delivery Reach | Partial | Partial | |||
| Results & Trust | |||||
| Exam Prep Support (Labs/Mock Exams) | Partial | ||||
| Typical Cost per Certification Path | ~$745 | ~$1,500+ | ~$200/yr | Free | Free |
| Verified Learner Reviews | 18,400+ · 4.9★ | Limited | Limited | N/A | N/A |
Data sourced from public pricing pages and review platforms. Accurate as of March 2026. Partial = available in select regions only.
Verified reviews from learners certified on Azure, AI, Security, and more.
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.
