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Master Cloudera - Data Analytics and Data Engineering Certification

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

Explore Cloudera - 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
DENG-251: Building an Open Data Lakehouse Using Apache Iceberg (Building an Open Data Lakehouse Using Apache Iceberg)
DENG-251 4 days · 32hrs
5,442+ 4.7 On Request
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Popular
Associate
Cloudera Essentials for CDP (CDP Generalist)
3 days · 24hrs
3,032+ 4.7 On Request
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Popular
Associate
Administering Cloudera on Cloud (CDP Administrator — Public Cloud) (CDP-5001)
3 days · 24hrs
7,429+ 4.9 On Request
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Associate
Building Solutions with Cloudera Data Services (DENG-259)
3 days · 24hrs
8,581+ 4.6 On Request
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Associate
NiFi 2.0: Data Flow Migration and AI Integration (DOPS-243)
1 day · 8hrs
2,924+ 4.9 On Request
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Associate
Cloudera Data Analyst Training for Apache Hadoop
4 days · 32hrs
7,131+ 4.6 On Request
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Associate
Apache HBase
3 days · 24hrs
8,047+ 4.7 On Request
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Associate
Hadoop Developer with Spark
5 days · 40hrs
7,252+ 4.7 On Request
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Associate
Apache Spark Application Performance Tuning
3 days · 24hrs
6,558+ 4.8 On Request
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Associate
Cloudera Administrator Training: CDP Private Cloud Base
4 days · 32hrs
5,162+ 4.7 On Request
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Associate
Cloudera Training for Apache Kafka
4 days · 32hrs
5,880+ 4.5 On Request
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Associate
Cloudera Data Engineering: Developing Applications with Apache Spark
4 days · 32hrs
6,089+ 4.9 On Request
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Cloudera - Data Analytics and Data Engineering Certification Training with Koenig Solutions

Course Overview

What is Cloudera - Data Analytics and Data Engineering?

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

Who Should Take This Course?

Data Analysts

Analyze big data using SQL, Apache Hive and Impala in Cloudera Data Warehouse

Data Engineers

Build and optimize Spark and Flink data pipelines on Cloudera Data Platform

Solutions Architects

Design scalable data architectures and CDP configurations for enterprise analytics and AI

Data Administrators

Manage, secure and maintain Cloudera clusters with CDP and Cloudera Manager

ML Engineers

Develop and deploy machine learning models using Cloudera Machine Learning

Data Architects

Architect data lakehouse solutions with Apache Iceberg and Cloudera Data Warehouse

Career Outcomes

What Cloudera - Data Analytics and Data Engineering Certification Opens Up For You

Based on industry data from certified Cloudera - Data Analytics and Data Engineering professionals worldwide

25%

average salary premium for Cloudera-certified Data Engineers in India

Salary Impact
+24%

Average salary increase reported after obtaining a Cloudera - 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 Analyst
  • Data Engineer
  • ETL Developer
  • Big Data Engineer
  • Data Operator
  • Data Lakehouse Engineer
  • Solutions Engineer
  • AI Solutions Engineer
  • Generative AI Engineer
  • Machine Learning Engineer
  • Platform Support Specialist
  • Data Platform Engineer
Companies Hiring
Cloudera JPMorgan Chase Booz Allen Hamilton Deloitte State Street Nasdaq FirstRand Nedbank Investec Sasol Accenture Capgemini Wipro Tata Consultancy Services Hewlett Packard Enterprise Cognizant

and 5,000+ organisations worldwide seeking Cloudera - Data Analytics and Data Engineering certified professionals

The building blocks every Cloudera - Data Analytics and Data Engineering solution is made of

01
Apache Spark on Iceberg
A distributed data processing engine within Cloudera Data Engineering (CDE) that runs on Cloudera Runtime. Practitioners build scalable ETL pipelines and batch analytics using Spark with Iceberg's open table format on CDP Public/Private Cloud.
02
Apache Airflow Orchestration
A workflow automation service utilizing Cloudera Data Engineering (CDE) Airflow, integrated with Cloudera Data Warehouse. Practitioners build and schedule complex data pipelines using Python-based DAGs within the Cloudera Data Platform.
03
Cloudera Shared Data Experience (SDX)
The governance and lineage framework within the Cloudera Data Platform that captures data flow across pipelines and services. Practitioners build governed data catalogs with end-to-end traceability using SDX security and metadata policies.
04
Virtual Clusters
Auto-scaling compute environments for running Spark jobs on demand within Cloudera Data Engineering. Practitioners build elastic processing units on CDP Public/Private Cloud with defined CPU and memory ranges.
CDP Data Hub
The Cloudera - Data Analytics and Data Engineering course teaches CDP Data Hub, which utilizes HDFS, Ozone, and Kudu for distributed storage. You gain expertise in secure, scalable data management, leveraging Hive Metastore, Apache Atlas, and Ranger for robust governance.
Connectors & APIs
Accelerate workflows using Cloudera - Data Analytics and Data Engineering connectivity tools. Integrate seamlessly with AWS, Azure, and Kafka via JDBC/ODBC. Developers master REST APIs and SDKs to automate complex data pipelines and build high-performance, connected data applications.
✦ Sample Certificate

Your Cloudera - Data Analytics and Data Engineering Certification Awaits

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.

Sample Cloudera - 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 Cloudera - 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 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.

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+
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    CISO, Financial Services

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    Rahul M.

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    AZ-104 Certified

    ✓ Verified
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Got Questions? We've Got Answers.

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

Cloudera Data Analytics and Data Engineering is a cloud-native platform for building, orchestrating, and governing enterprise-grade data pipelines using Apache Spark on Iceberg and Apache Airflow. It enables scalable AI and multi-function analytics across hybrid environments with containerized flexibility. Key components include Spark on Kubernetes, Airflow for orchestration, Iceberg for open table formats, and Cloudera Shared Data Experience (SDX) for metadata governance.
Cloudera Data Engineering training is designed for data engineers, SQL developers, and CDP administrators with experience in distributed systems or big data technologies. It serves mid-to-senior level professionals aiming to build scalable data pipelines. The courses also support platform administrators and developers transitioning into data engineering roles on the Cloudera platform.
Learners need foundational knowledge of Apache Spark, Hadoop ecosystem components like HDFS and YARN, and basic SQL proficiency. Familiarity with Python or Scala for Spark development and cloud infrastructure concepts is required. Some advanced courses assume prior experience with containerization (Kubernetes) and workflow orchestration tools like Airflow.
The training prepares learners for the Cloudera Certified Data Engineer (CDP-3002) exam, which validates skills in designing, developing, and optimizing data workflows on Cloudera. The exam covers Spark fundamentals (48%), Airflow (10%), performance tuning (22%), deployment (10%), and Apache Iceberg (10%).
The CDP-3002 exam consists of 50 questions with a 90-minute duration and a passing score of 55%. It is delivered online with proctoring through QuestionMark and includes multiple-choice and scenario-based questions. The certification is valid for three years before renewal.
Cloudera Data Engineering training at Koenig runs for 32 hours, typically delivered over four days. Formats include live online 1-on-1, public virtual classrooms, private batches, and on-site classroom training. All sessions are Guaranteed-to-Run, with flexible start dates and support for self-paced Flexi learning with recorded content.
Still have questions?
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Across 50+ Countries

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