CLOUDERA DATA ENGINEERING WITH APACHE ICEBERG
The Cloudera Data Engineering with Apache Iceberg course is designed for professionals who want to build modern data engineering skills using Cloudera CDP, Apache Iceberg, Spark, Hive, Kafka, and Airflow. The training focuses on creating scalable data pipelines, managing large data lakes, designing lakehouse architectures, and processing both batch and streaming data. Through hands-on projects and real-world scenarios, learners gain practical experience in ETL/ELT development, data governance, performance optimization, and cloud data engineering. This course is ideal for data engineers, Spark developers, ETL professionals, cloud data engineers, data architects, and anyone looking to build expertise in modern enterprise data platforms.
CLOUDERA DATA ENGINEERING WITH APACHE ICEBERG
IT Training Programme
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What you'll learn
Programme Overview
25 sections covering the complete curriculum — a single, progressive learning arc.
Foundations & Core Concepts
Get hands-on with the fundamentals and architecture — the building blocks for everything that follows.
Hands-On Practical Training
Work through real exercises and assignments designed to mirror what you will do on the job.
Real-World Projects
Apply what you have learned to end-to-end projects that go straight into your portfolio.
Advanced Techniques
Go beyond the basics with advanced concepts, integrations and production-grade practices.
Ecosystem Integration
Understand how this technology connects with the broader tools and platforms used in the industry.
Performance & Interview Prep
Master optimization techniques and prepare for the technical interview questions employers actually ask.
Who is this programme for?
Whether you're already writing code, working with data, or supporting applications today — this programme is built to take you into a Data Engineering role.
Software Developers
Engineers who want to add this skill set to their toolkit
Analysts & Consultants
Professionals moving into a more technical, hands-on role
IT Professionals
System admins and support engineers upskilling into a new domain
Fresh Graduates
CS/IT graduates aiming for a job-ready technical role
Course Curriculum
25 sections • 273 lessons • 50 hours
Jump to Section
Total Duration
50 hours
100% Practical · Unlimited Doubt Sessions
01 Cloudera Data Engineering with Apache Iceberg Training Program
(CDP + Spark + Hive + Apache Iceberg + Kafka + Airflow + Data Governance +
Cloud Data Engineering)
Duration: 40–50 Hours
Projects: 5 Enterprise Projects
Assignments: 12 Hands-On Assignments
Job-Oriented Scenarios: 15 Real-World Industry Scenarios
Outcome: Become a modern Data Engineer capable of building enterprise-scale Lakehouse
02 Target Audience
03 🎯 Program Objectives
04 Module 1: Data Engineering Fundamentals
Topics
Introduction to Data Engineering
Big Data Fundamentals
Assignment
- ›Design Enterprise Data Architecture.
Job Scenario
- ›Create a modern data platform for a retail company.
05 Module 2: Cloudera Data Platform (CDP) Architecture
Topics
Introduction to CDP
CDP Components
Security Architecture
Assignment
- ›Build CDP Reference Architecture.
06 Module 3: Hadoop Ecosystem Fundamentals
Topics
HDFS Architecture
YARN
Hive
HBase
Sqoop
ZooKeeper
Spark Overview
Lab
Assignment
- ›Deploy Sample Hadoop Workflow.
07 Module 4: Apache Spark for Data Engineering
Topics
Spark Architecture
RDD
DataFrames
Spark SQL
Transformations
Actions
Spark Optimization
Partitioning
Practical Lab
Assignment
- ›Process Large Datasets using Spark.
Job Scenario
- ›Build scalable ETL pipeline.
08 Module 5: Software Channel Management
Topics
Hive Metastore
Partitioning
Bucketing
Query Optimization
ACID Tables
Practical Lab
Assignment
- ›Design Sales Data
- ›Warehouse.
09 Module 6: Apache Iceberg Fundamentals
Topics
Introduction to Iceberg
Why Iceberg?
Iceberg vs Hive Tables
Iceberg vs Delta Lake
Iceberg vs Hudi
Table Formats
Hidden Partitioning
Snapshot Architecture
Time Travel
Practical Lab
Assignment
- ›Build Lakehouse Table Structure.
Job Scenario
- ›Migrate Legacy Hive Tables to Iceberg
- ›
10 Module 7: Apache Iceberg Advanced Features
Topics
Snapshots
Branching
Tagging
Rollbacks
Incremental Reads
Metadata Management
Partition Evolution
Data File Management
Practical Lab
Assignment
- ›Create Version-Controlled Data Lake.
11 Module 8: Data Ingestion Frameworks
Topics
Batch Ingestion
Real-Time Ingestion
CDC (Change Data Capture)
Kafka Integration
Database Connectors
API-Based Ingestion
Practical Lab
Ingest Data into Iceberg Tables.
Assignment
- ›Build Data Ingestion Pipeline.
Job Scenario
- ›Load ERP data into Data Lakehouse.
12 Module 9: Data Transformation & ETL Development
Topics
Data Cleansing
Data Enrichment
Data Validation
Data Standardization
Data Quality Checks
Spark ETL Framework
Practical Lab
Assignment
- ›Build Customer Data Pipeline.
13 Module 10: Data Governance & Metadata Management
Topics
Data Governance Fundamentals
Metadata Management
Data Catalog
Lineage Tracking
Data Classification
Compliance Management
Cloudera Data Catalog
Apache Atlas
Practical Lab
Assignment
- ›Create Enterprise Data Catalog.
14 Module 11: Security & Access Management
Topics
Authentication
Authorization
Ranger Overview
Role-Based Access Control
Encryption
Auditing
Practical Lab
Assignment
- ›Implement Data Access Controls.
15 Module 12: Workflow Orchestration
Topics
Apache Airflow
Cloudera Workflows
Scheduling
Dependency Management
Assignment
- ›Build Workflow Automation.
- ›
16 Module 13: Performance Optimization
Topics
Query Optimization
Spark Optimization
Iceberg Performance Tuning
Partition Strategy
Compaction
Resource Optimization
Practical Lab
Assignment
- ›Improve ETL Performance.
Job Scenario
- ›Reduce ETL processing time by 50%.
17 Module 14: Streaming Data Engineering
Topics
Kafka Fundamentals
Spark Structured Streaming
Real-Time Processing
Event-Driven Architecture
Iceberg Streaming Integration
Practical Lab
Assignment
- ›Build Streaming ETL System.
18 Module 15: Cloud Data Engineering with Cloudera
Topics
AWS Integration
Azure Integration
GCP Integration
Object Storage
Hybrid Data Platforms
Practical Lab
Assignment
- ›Design Multi-Cloud Data Architecture.
19 Module 16: Data Observability & Monitoring
Topics
Pipeline Monitoring
Data Quality Monitoring
Alerting
Logging
Operational Dashboards
Practical Lab
20 🚀 Industry Projects
Project 1: Retail Data Lakehouse using Iceberg
Deliverables
Project 2: Banking Data Platform
Deliverables
Project 3: Healthcare Data Lakehouse
Deliverables
Project 4: Real-Time Streaming Analytics Platform
Deliverables
Project 5: Enterprise Data Modernization
Deliverables
21 📝 Practical Assignments
Assignment 1
- ›Design Data Lake Architecture
Assignment 2
- ›Create Spark ETL Pipeline
Assignment 3
- ›Build Hive Data Warehouse
Assignment 4
- ›Implement Iceberg Tables
Assignment 5
- ›Perform Time Travel Queries
Assignment 6
- ›Create CDC Pipeline
Assignment 7
- ›Configure Ranger Security
Assignment 8
- ›Build Metadata Catalog
Assignment 9
- ›Develop Airflow Workflows
Assignment 10
- ›Optimize Iceberg Performance
Assignment 11
- ›Implement Streaming Pipeline
Assignment 12
- ›Deploy Cloud Data Platform
22 💼 Real-Time Job-Oriented Scenarios
Scenario 1
- ›Migrate Hive Data Warehouse to Apache Iceberg.
Scenario 2
- ›Build Lakehouse architecture for banking data.
Scenario 3
- ›Implement CDC from Oracle to Iceberg.
Scenario 4
- ›Create time-travel reporting solution.
Scenario 5
- ›Design secure healthcare data platform.
Scenario 6
- ›Implement enterprise data governance.
Scenario 7
- ›Optimize Spark jobs processing 10TB+ data.
Scenario 8
- ›Build Kafka real-time analytics platform.
Scenario 9
- ›Manage schema evolution without downtime.
Scenario 10
- ›Reduce cloud storage costs through Iceberg optimization.
Scenario 11
- ›Build enterprise metadata management solution.
Scenario 12
- ›Implement regulatory compliance controls.
Scenario 13
- ›Handle large-scale partition evolution.
Scenario 14
- ›Perform disaster recovery for data platform.
Scenario 15
- ›Deploy hybrid cloud data lakehouse.
23 🛠 Technologies Covered
Cloudera Platform
Big Data
Lakehouse
Streaming
Governance
Workflow
Cloud
24 🎯 Career Opportunities
25 🎓 Recommended Certification Path
Cloudera Certifications
Complementary Certifications
Tools & Technologies
Every tool listed here is installed, configured and used in a hands-on lab session.
Hands-On Labs
Practical Environment
Industry-Standard Tools
Real-World Setup
Guided Exercises
Skill Building
Sample Datasets
Practice Material
Mini Projects
Applied Practice
Assignments
Mentor Reviewed
Doubt Sessions
Live Support
Resume Building
Career Support
Mock Interviews
Interview Prep
Certification Prep
Global Recognition
Production Practices
Real-World Ready
Best Practices
Industry Standards
You don't just learn CLOUDERA DATA ENGINEERING WITH APACHE ICEBERG. You ship it.
Three major projects, each mirroring how production teams actually work — from guided foundations to a portfolio-ready capstone.
Guided Foundation Project
→Requirement Analysis
→Guided Implementation
→Mentor Review
→Iteration
Apply the fundamentals in a structured, mentor-reviewed project
Take the core concepts from the first half of the curriculum and apply them to a realistic scenario, with guidance and feedback from your mentor at every step.
Applied Practice Project
→Scenario Design
→Independent Build
→Testing & Validation
→Peer Review
Build a more independent project mirroring real production scenarios
Work through a project that combines multiple concepts from the curriculum, closer to how work is actually structured on the job — less hand-holding, more ownership.
Capstone Project
→Planning
→End-to-End Build
→Review & Refinement
→Presentation
Take a project from requirements to a polished, portfolio-ready deliverable
Your final project — plan, build, test and present a complete solution using everything covered in the curriculum, reviewed by mentors before you graduate.
All 3 projects go directly into your portfolio & resume — reviewed by mentors before you graduate.
See Sample Project ReportsUpcoming Batches
Why Radical Technologies
- Highly practical oriented training
- Installation support on your system
- 24/7 Email and Phone support
- 100% Placement Assistance
- Global Certification Preparation
- Trainer-Student Interactive Portal
- Assignments and Projects by Mentors
- Weekend / Weekdays / Morning / Evening batches
- 80:20 Practical and Theory ratio
- Real-life Case Studies
- Easy make-up for missed sessions
- PSI | Kryterion | Redhat Test Centers
- Lifetime Video Classroom Access (coming soon)
- Resume Prep and Mock Interviews
- Learn 300+ courses at your own time
- 50,000+ Satisfied Learners
- Course Completion Certificate
- Practical Labs available
- Mentor Support available
- Doubt Clearing Session available
- 10% Discounted Global Certification
Like the Curriculum? Let's Get Started
Join 50,000+ students already enrolled at Radical Technologies
Global Certification
Radical Technologies is the leading IT certification institute in Pune, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards — from cloud technologies to data science — empowering individuals to stay ahead in the ever-evolving tech landscape.
Career Services
At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalised resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career.
Career Support
Join our Brush-up Session & get support until you find a job!
Get StartedRadical Learning Eco-System
Exam Simulator
Cloud SandBox
Hands-on Cloud Lab
Developer Coding Ground
Student Reviews
Course Rating
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CLOUDERA DATA ENGINEERING WITH APACHE ICEBERG Interview Questions
10 questions commonly asked in CLOUDERA DATA ENGINEERING WITH APACHE ICEBERG interviews.
- 01 What are the primary benefits of using Revit MEP in Building Information Modeling (BIM) compared to traditional CAD tools?
- 02 Can you explain the workflow for designing an HVAC system in Revit MEP, including load calculations and duct placement?
- 03 How do you perform clash detection in Revit MEP, and what steps do you take to resolve detected conflicts?
- 04 Describe the process of creating custom parametric components (families) in Revit MEP and provide an example of their practical use.
- 05 What tools in Revit MEP are used for energy analysis, and how can they help in designing sustainable building systems?
- 06 How do you manage collaboration between mechanical, electrical, and plumbing teams within a Revit MEP project?
- 07 What are the best practices for optimizing Revit MEP models to ensure smooth performance, especially in large-scale projects?
- 08 How would you use Revit MEP to design and analyze fire protection systems, including sprinkler layouts and pipe routing?
- 09 What steps would you take to ensure compliance with local building codes and standards when designing electrical systems in Revit MEP?
- 10 Can you explain how schedules and material takeoffs are generated in Revit MEP and their significance in project documentation?
Cloudera Data Engineering with Apache Iceberg Course Certification with Training In Pune
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Experienced Trainers: Our instructors are industry experts with years of hands-on experience in Revit MEP and BIM projects.
Real-World Projects: We emphasize project-based learning, ensuring our students gain practical expertise.
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CLOUDERA DATA ENGINEERING WITH APACHE ICEBERG
IT Training Programme
100% placement assistance