Cloudera Data Analytics and Data Engineering empowers you to build governed lakehouses and optimize ETL pipelines, preparing you for the official CDP-3002 certification exam.
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Cloudera Data Analytics and Data Engineering is a cloud-native platform by Cloudera for building, orchestrating, and governing enterprise-grade data pipelines using Apache Spark on Apache Iceberg. It solves the challenge of scalable data processing and analytics across hybrid and multi-cloud environments, forming a core component of the Cloudera Data Platform for unified data management and AI. The platform includes Cloudera Data Engineering, which enables serverless Apache Spark workloads with auto-scaling virtual clusters; Apache Airflow for self-service orchestration of complex pipelines; Apache Iceberg for open table format with schema evolution and time travel; Cloudera Data Lineage for metadata governance and visibility; and Cloudera Shared Data Experience (SDX) for unified security, compliance, and cross-environment policy enforcement. Data engineers, analytics engineers, and AI practitioners use Cloudera Data Analytics and Data Engineering to build scalable, governed data pipelines that support multi-function analytics and AI workloads across cloud, on-premises, and hybrid environments.
Hive and Impala Fundamentals
Write SQL queries using Hive and Impala to analyze data
Data Modeling Concepts
Design partitioned tables and manage schema in metastore
Spark Core Skills
Develop and optimize Spark applications on Cloudera platform
HDFS Data Management
Store, access and manage data in HDFS directories
Security Configuration
Apply access policies using Apache Ranger and Atlas
Workflow Automation
Build data workflows using Airflow and orchestration tools
The building blocks every Cloudera - Data Analytics and Data Engineering solution is made of
See what your official Cloudera - Data Analytics and Data Engineering certification looks like. Download a sample — then let our advisors map the fastest path to earning the real one.
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 Cloudera - Data Analytics and Data Engineering exam — rated across every training format available.
| Criteria | Koenig | Free Platform | Self-Paced Platform | ALP Provider | Legacy Provider | Note |
|---|---|---|---|---|---|---|
| Trainer Expertise and Delivery | ||||||
| Official Cloudera Trainer | — | |||||
| Hours of Live Instruction | 40 Hours | 0 Hours | 0 Hours | 35 Hours | 20 Hours | — |
| 1-on-1 Private Sessions | Partial | — | ||||
| Cloudera Authorization Standards | ||||||
| Authorized Training Partner | Community-Led | — | ||||
| Official Cloudera Courseware | — | |||||
| Training Credits Accepted | — | |||||
| Flexibility and Global Access | ||||||
| Any-Day/Flexi Start Dates | Partial | — | ||||
| On-Site or Expert Trainer | Partial | — | ||||
| Global Delivery Reach | Partial | — | ||||
| Results and Proven Trust | ||||||
| Certification Exam Pass Rate | 92% | Not Disclosed | Not Disclosed | Not Disclosed | Not Disclosed | Verified success metrics for Cloudera - Data Analytics and Data Engineering |
| Entry Price (Foundational) | ~$745 · Best Value | Free | $15-30/mo | ~$1,500+ | Limited | — |
| Verified Student Reviews | 18,400+ · 4.9★ | N/A | Limited | Limited | Limited | — |
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.
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