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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.
Duration of Training : 40–50 Hours
Batch type : Weekdays/Weekends
Mode of Training : Classroom/Online/Corporate Training
Detailed Syllabus • Hands-on Labs • Assignments • Support-Focused • Implementation
Curriculum Designed by Experts
(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
platforms using Cloudera CDP and Apache Iceberg.
• Data Engineers
• Big Data Developers
• Hadoop Administrators
• Spark Developers
• ETL Developers
• Cloud Data Engineers
• Database Professionals
• Data Architects
By the end of this training, participants will be able to:
✅ Build Enterprise Data Pipelines using Cloudera CDP
✅ Work with Apache Iceberg Tables
✅ Design Lakehouse Architectures
✅ Implement Data Ingestion Frameworks
✅ Manage Large-Scale Data Lakes
✅ Build ETL/ELT Pipelines using Spark
✅ Perform Data Governance & Metadata Management
✅ Optimize Query Performance
✅ Handle Streaming and Batch Data Processing
Topics
Introduction to Data Engineering
• Data Warehouse Concepts
• Data Lake Concepts
• Lakehouse Architecture
• ETL vs ELT
• Data Engineering Lifecycle
Big Data Fundamentals
• Structured Data
• Semi-Structured Data
• Unstructured Data
Assignment
Design Enterprise Data Architecture.
Job Scenario
Create a modern data platform for a retail company.
Topics
Introduction to CDP
CDP Components
• Data Hub
• Data Warehouse
• Data Engineering
• Data Flow
• Data Catalog
CDP Deployment Models
• Public Cloud
• Private Cloud
• Hybrid Cloud
Security Architecture
Practical Lab
Explore CDP Environment.
Assignment
Build CDP Reference Architecture.
Topics
HDFS Architecture
YARN
Hive
HBase
Sqoop
ZooKeeper
Spark Overview
Lab
Manage Hadoop Environment.
Assignment
Deploy Sample Hadoop Workflow.
Topics
Spark Architecture
RDD
DataFrames
Spark SQL
Transformations
Actions
Spark Optimization
Partitioning
Practical Lab
Develop Spark Applications.
Assignment
Process Large Datasets using Spark.
Job Scenario
Build scalable ETL pipeline.
Topics
Hive Architecture
Hive Metastore
Partitioning
Bucketing
Query Optimization
ACID Tables
Practical Lab
Create Enterprise Data
Warehouse.
Assignment
Design Sales Data
Warehouse.
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
Schema Evolution
Practical Lab
Create Iceberg Tables.
Assignment
Build Lakehouse Table Structure.
Job Scenario
Migrate Legacy Hive Tables to Iceberg
Topics
Snapshots
Branching
Tagging
Rollbacks
Incremental Reads
Metadata Management
Partition Evolution
Data File Management
Practical Lab
Implement Time Travel Queries.
Assignment
Create Version-Controlled Data Lake.
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.
Topics
Data Cleansing
Data Enrichment
Data Validation
Data Standardization
Data Quality Checks
Spark ETL Framework
Practical Lab
Develop ETL Jobs.
Assignment
Build Customer Data Pipeline.
Topics
Data Governance Fundamentals
Metadata Management
Data Catalog
Lineage Tracking
Data Classification
Compliance Management
Cloudera Data Catalog
Apache Atlas
Practical Lab
Implement Data Governance.
Assignment
Create Enterprise Data Catalog.
Job Scenario
Ensure regulatory compliance.
Topics
Authentication
Authorization
Ranger Overview
Role-Based Access Control
Encryption
Auditing
Practical Lab
Configure Data Security Policies.
Assignment
Implement Data Access Controls.
Topics
Apache Airflow
Cloudera Workflows
Scheduling
Dependency Management
Monitoring
Error Handling
Practical Lab
Automate ETL Pipelines.
Assignment
Build Workflow Automation.
Topics
Query Optimization
Spark Optimization
Iceberg Performance Tuning
Partition Strategy
Compaction
Resource Optimization
Practical Lab
Optimize Data Processing Workloads.
Assignment
Improve ETL Performance.
Job Scenario
Reduce ETL processing time by 50%.
Topics
Kafka Fundamentals
Spark Structured Streaming
Real-Time Processing
Event-Driven Architecture
Iceberg Streaming Integration
Practical Lab
Real-Time Data Pipeline.
Assignment
Build Streaming ETL System.
Topics
AWS Integration
Azure Integration
GCP Integration
Object Storage
• Amazon S3
• Azure ADLS
• Google Cloud Storage
Hybrid Data Platforms
Practical Lab
Deploy Lakehouse in Cloud.
Assignment
Design Multi-Cloud Data Architecture.
Topics
Pipeline Monitoring
Data Quality Monitoring
Alerting
Logging
SLA Monitoring
Operational Dashboards
Practical Lab
Build Monitoring Dashboard.
Project 1: Retail Data Lakehouse using Iceberg
Deliverables
• Customer Data Lake
• Sales Data Lakehouse
• Time Travel Reporting
• Governance Framework
Project 2: Banking Data Platform
Deliverables
• Transaction Processing
• CDC Pipelines
• Compliance Reporting
• Metadata Catalog
Project 3: Healthcare Data Lakehouse
Deliverables
• Patient Data Integration
• Data Quality Framework
• Secure Access Controls
Project 4: Real-Time Streaming Analytics Platform
Deliverables
• Kafka Integration
• Spark Streaming
• Iceberg Storage
• Dashboard Reporting
Project 5: Enterprise Data Modernization
Deliverables
• Hive-to-Iceberg Migration
• Performance Optimization
• Governance Implementation
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
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.
Cloudera Platform
• Cloudera CDP
• Cloudera Data Engineering
• Cloudera Data Warehouse
• Cloudera Data Catalog
Big Data
• Hadoop
• HDFS
• Hive
• Spark
Lakehouse
• Apache Iceberg
• Hive Tables
• Parquet
• ORC
Streaming
• Apache Kafka
• Spark Structured Streaming
Governance
• Apache Atlas
• Ranger
Workflow
• Apache Airflow
Cloud
• AWS S3
• Azure Data Lake Storage
• Google Cloud Storage
• Cloudera Data Engineer
• Big Data Engineer
• Apache Spark Developer
• Lakehouse Engineer
• Data Platform Engineer
• Hadoop Developer
• Cloud Data Engineer
• ETL Developer
• Data Architect
• Analytics Engineer
Cloudera Certifications
• Cloudera Data Platform (CDP)
• Cloudera Data Engineer Certification
• Cloudera Administrator Certification
Complementary Certifications
• Apache Spark Certification
• AWS Data Engineer Associate
• Microsoft Azure Data Engineer (DP-203)
• Databricks Data Engineer Associate
Course completion certificate and Global Certifications are part of our all Master Program
Course completion certificate and Global Certifications are part of our all Master Program
Course completion certificate and Global Certifications are part of our all Master Program
REVIT ARCHITECTURE / REVIT MEP Course Training empowers you with cutting-edge skills in BIM modeling, 3D design, and efficient project coordination. Master the art of creating detailed architectural plans, MEP systems, and collaborative workflows. Enroll today to enhance your expertise, boost your productivity, and advance your career in the ever-growing design and construction industry!
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Implementing automated infrastructure provisioning and configuration management using Ansible. This may include setting up servers, networking devices, and other infrastructure components using playbooks and roles.
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Automating the deployment and orchestration of applications across development, testing, and production environments. This could involve deploying web servers, databases. middleware, and other application components using Ansible
Continuous Integration
Integrating Ansible into CI/CD pipelines to automate software. build, test, and deployment processes. This may include automating the creation of build artifacts, running tests, and deploying applications to various environments.
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Revit MEP (Mechanical, Electrical, and Plumbing) is a Building Information Modeling (BIM) software developed by Autodesk. It is used to design, model, and coordinate mechanical, electrical, and plumbing systems in a building. Revit MEP allows engineers to create detailed 3D models, perform system analysis, and generate accurate documentation for construction projects.
Revit MEP provides a unified platform where mechanical, electrical, and plumbing teams can work on the same model. It integrates with cloud-based tools like Autodesk BIM 360, enabling real-time collaboration, design coordination, and conflict resolution among all project stakeholders.
Key features of Revit MEP include parametric components, clash detection, automated documentation, energy analysis tools, and integrated workflows. These features streamline the design process, enhance accuracy, and reduce errors.
Yes, Revit MEP includes energy analysis tools that allow designers to evaluate energy efficiency and optimize building systems. It supports green building certifications like LEED by enabling simulations for heating, cooling, lighting, and water usage.
Revit MEP is widely used in industries such as construction, architecture, HVAC engineering, electrical design, plumbing, and fire protection. It is also valuable for facility management and sustainability-focused projects.
Revit MEP uses built-in clash detection tools to identify conflicts between different systems (e.g., ducts, pipes, and electrical conduits) within the 3D model. This helps resolve issues during the design phase, reducing costly rework during construction.
Revit Architecture is focused on architectural design, including walls, roofs, and floor plans. Revit MEP, on the other hand, specializes in mechanical, electrical, and plumbing system design, analysis, and coordination. Both tools can work together to create a complete building model.
Yes, Revit MEP integrates seamlessly with other Autodesk products such as AutoCAD, Navisworks, and BIM 360. This integration allows for better workflow management, model collaboration, and project visualization.
Yes, Revit MEP is suitable for projects of all sizes. Its scalability allows it to be used for designing small residential buildings as well as large commercial and industrial complexes
Families in Revit MEP are pre-defined or custom parametric components used to represent system elements such as ducts, pipes, electrical fixtures, and equipment. These families can be modified to meet specific project requirements and reused across projects.
Revit MEP generates schedules, material takeoffs, and construction drawings directly from the 3D model. This automation ensures documentation is accurate, consistent, and updated in real-time as the design evolves.
Yes, Revit MEP is an excellent tool for retrofitting projects. Engineers can use the software to create models of existing systems, analyze their performance, and design upgrades or replacements to improve efficiency.
Revit MEP requires a powerful computer with a multi-core processor, a dedicated graphics card, and at least 16GB of RAM. For optimal performance, Autodesk recommends running the software on Windows 10 with a 64-bit operating system.
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Revit MEP generates accurate material takeoffs and schedules, which can be used to estimate project costs. By linking the BIM model to cost estimation software, users can track budgets and make adjustments during the design phase to stay within financial constrain
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Revit MEP (Mechanical, Electrical, and Plumbing) is a robust Building Information Modeling (BIM) software developed by Autodesk. It is specifically designed for engineers, designers, and contractors to streamline the design, documentation, and collaboration processes for building systems. Revit MEP is a cornerstone tool for those looking to create intelligent 3D models that integrate mechanical, electrical, and plumbing systems seamlessly within a building’s architectural framework.
Integrated Design Environment
Revit MEP offers an integrated workspace where mechanical, electrical, and plumbing systems can be designed collaboratively within a single model. This integration ensures that all disciplines are aligned and potential clashes are identified early in the design phase.
Parametric Components
The software enables the use of parametric components, or “families,” which are versatile elements that can be customized. These components allow users to efficiently adapt designs to meet specific project requirements, saving time and effort.
Clash Detection and Coordination
Revit MEP provides advanced clash detection capabilities. By identifying and resolving conflicts between different building systems during the design phase, the software reduces costly rework during construction.
Automated Documentation
With Revit MEP, generating accurate and detailed documentation is automated. Users can create schedules, drawings, and material takeoffs directly from the 3D model, ensuring consistency and accuracy.
Energy Analysis Tools
The software includes tools for performing energy analysis, helping designers create sustainable and energy-efficient systems. Revit MEP supports calculations for heating, cooling, and lighting, which aids in compliance with green building standards.
Collaborative Workflows
Revit MEP supports collaborative workflows through cloud-based integration with Autodesk BIM 360. Teams can share models, review designs, and track changes in real-time, enhancing project efficiency.
Enhanced Productivity
By automating repetitive tasks and reducing manual errors, Revit MEP allows professionals to focus on innovation and quality. The software improves project delivery timelines and lowers overall costs.
Improved Visualization
With its 3D modeling capabilities, Revit MEP provides a detailed view of building systems, making it easier to visualize the final output. This helps stakeholders better understand the design and make informed decisions.
Sustainability Integration
The ability to simulate energy performance and optimize system designs helps in creating eco-friendly buildings. Revit MEP aligns with global sustainability standards, including LEED and BREEAM.
Error Reduction
Through real-time collaboration and advanced coordination tools, Revit MEP minimizes errors and omissions, which can lead to expensive rework during construction.
Flexibility and Scalability
Whether you’re designing a small residential project or a large commercial complex, Revit MEP scales to meet the needs of diverse projects. Its adaptability makes it a preferred choice across industries.
Revit MEP, a specialized Building Information Modeling (BIM) software from Autodesk, is widely used in designing, analyzing, and documenting mechanical, electrical, and plumbing systems in buildings. Its versatile features and capabilities make it a preferred choice for professionals across multiple industries. Below are the key applications of Revit MEP:
1. HVAC System Design
Revit MEP enables detailed design, analysis, and visualization of Heating, Ventilation, and Air Conditioning (HVAC) systems. Engineers can create accurate ductwork layouts, airflow paths, and equipment placements. The software also helps perform load calculations, ensuring optimal system efficiency and compliance with energy standards.
2. Electrical Systems Design
Revit MEP is extensively used for designing electrical layouts, including wiring diagrams, circuit boards, and panel schedules. It allows engineers to plan and simulate power distribution systems, lighting designs, and emergency systems while ensuring compliance with regional electrical codes and safety standards.
3. Plumbing System Design
Plumbing engineers utilize Revit MEP to design and analyze water distribution and drainage systems. The software provides tools to model complex piping networks, calculate flow rates, and ensure proper placement of fixtures like sinks, faucets, and valves. This results in efficient water usage and system reliability.
4. Fire Protection System Design
Designing fire protection systems is a critical application of Revit MEP. Engineers can layout sprinkler systems, design pipe routing, and place fire suppression equipment accurately. Its clash detection feature ensures that fire protection systems do not interfere with other building components.
5. Energy Analysis and Sustainable Design
Revit MEP supports energy simulation and analysis, making it a valuable tool for designing energy-efficient systems. Engineers can evaluate heating and cooling loads, simulate lighting efficiency, and optimize building systems to align with green building certifications like LEED or BREEAM.
6. Clash Detection and Coordination
One of Revit MEP’s standout features is its ability to perform clash detection between mechanical, electrical, and plumbing systems. This ensures that all systems are seamlessly integrated into the building design, reducing errors and avoiding costly rework during construction.
7. Documentation and Scheduling
Revit MEP automates the creation of detailed documentation, such as schedules, material takeoffs, and 2D drawings, directly from the 3D model. This ensures accuracy and consistency while saving time during project planning and execution.
8. Collaboration and Workflow Optimization
Revit MEP supports collaborative workflows, enabling multiple stakeholders—such as architects, structural engineers, and contractors—to work on a unified model. This streamlines communication, ensures coordination, and enhances overall project efficiency.
9. Custom Component Design
The software allows engineers to create custom parametric components or “families,” tailored to specific project needs. This feature is particularly useful for projects that require unique system designs or specialized equipment.
10. Facility Management Integration
Revit MEP models can be integrated into facility management systems for post-construction operations. The detailed data embedded in the BIM model aids in maintenance planning, asset tracking, and lifecycle management of building systems.
Radical Technologies is the leading institute in Bengaluru for comprehensive Revit MEP Training, offering industry-focused courses to help students and professionals excel in the field of Building Information Modeling (BIM). With a proven track record of delivering top-notch training, we are committed to providing unparalleled learning experiences through expert-led sessions and hands-on projects.
Our Revit MEP Course in Bengaluru is designed to equip learners with practical skills and in-depth knowledge of mechanical, electrical, and plumbing systems. We take pride in being the preferred choice for individuals seeking to advance their careers through our Revit MEP Certification in Bengaluru and placement-focused training programs.
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.
Placement Support: Our dedicated placement team connects you with top companies, helping you kickstart or advance your career.
Flexible Learning Options: Whether you prefer classroom sessions or online learning, we have options tailored to your needs.
At Radical Technologies, we are more than just a Revit MEP Institute in Bengaluru; we are your partners in professional growth. Join us today and take the first step towards mastering Revit MEP and excelling in the competitive AEC (Architecture, Engineering, and Construction) industry.
For more information on our Revit MEP Training in Bengaluru, contact us today!
(Our Team will call you to discuss the Fees)