Denodo has evolved from a data virtualization engine into a full logical data management platform, and enterprises now expect professionals who understand its AI-native capabilities. This course walks you through the Denodo Platform 9.x architecture – from building virtual data sources and semantic layers to exposing governed, real-time data for RAG applications and AI agents through the Denodo AI SDK. You’ll practice on live labs that mirror production data environments used across banking, healthcare, retail, and insurance.
Prerequisites
- Basic understanding of SQL and relational database concepts
- Familiarity with data warehousing or ETL concepts is helpful, though not mandatory
- Working knowledge of any programming or scripting language (Python or Java preferred)
- Prior exposure to BI tools such as Power BI or Tableau is a plus
- No prior Denodo experience is required – the course starts from fundamentals
Course Objectives
- Understand the architecture and core components of the Denodo Platform
- Design and deploy a logical data layer across heterogeneous, distributed sources
- Build reusable base views, derived views, and interfaces using VQL
- Apply caching, query optimization, and performance-tuning techniques
- Implement row-level and column-level data security and governance policies
- Integrate Denodo with AI and ML workflows using the Denodo AI SDK
- Prepare for the Denodo Platform 9 Associate and Professional certification exams
- Deploy and manage Denodo solutions on AWS, Azure, and Google Cloud Platform
What You Will Learn
- Data virtualization fundamentals and logical data management concepts
- Creating and managing data sources, base views, and derived views
- Building a governed semantic layer with business-friendly metadata
- Query optimization strategies, including cost-based optimization and execution plans
- Caching strategies: full, partial, and incremental cache configurations
- AI Model Integration: Integrating machine learning models (e.g., TensorFlow, PyTorch)
- Data catalog and data marketplace setup for self-service data access
- Natural-language querying using the Denodo Assistant and AI SDK
- Retrieval-augmented generation (RAG) patterns for grounding LLMs with live enterprise data
- Security implementation, including authentication, authorization, and data masking
- Monitoring, logging, and day-to-day administration of the Denodo server
- Real-time and batch data integration across cloud and on-premises systems
- Workspace-based, CI/CD-style version control for collaborative development
Who Should Enroll in This Course?
This Denodo Course is designed for professionals who work with enterprise data and want to build modern, AI-ready data architectures. It’s a strong fit for:
- Data engineers and ETL developers
- Data architects and solution architects
- BI and analytics professionals
- Database administrators
- AI/ML engineers building RAG-based applications
- IT professionals transitioning into data virtualization roles
- Fresh graduates aiming for a career in data management
- Enterprise architects evaluating logical data platforms
Skills You Will Gain
- Denodo VQL scripting and view design
- Data source integration and virtualization
- Semantic layer and data catalog design
- Query performance tuning and caching
- Data security and governance implementation
- RAG pipeline development with the Denodo AI SDK
- Natural-language query configuration
- Cloud deployment on AWS, Azure, and GCP
- Integration with vector databases and LLMs
Tools Covered
- Denodo Platform 9.x – Design Studio, VQL Shell, and Diagnostic & Monitoring Tool
- Denodo AI SDK
- Denodo Data Catalog and Data Marketplace
- Power BI and Tableau for visualization
- Apache Spark and Kafka for data processing
- AWS, Microsoft Azure, and Google Cloud Platform
- Git-based workspace version control
- Vector databases used in RAG pipelines
Career Outcomes
Denodo skills are in high demand as enterprises modernize their data stacks for AI. Graduates of this course are prepared for roles such as:
- Data Virtualization Engineer
- Denodo Developer / Denodo Consultant
- Data Architect
- Data Integration Specialist
- BI Developer
- Enterprise Data Manager
- AI Data Engineer
Why Choose kodestree?
kodestree brings together experienced trainers, real project work, and flexible learning options for professionals pursuing this Denodo Training.
- Live instructor-led online sessions
- Hands-on labs on the latest Denodo Platform version
- Real-world projects and case studies
- Flexible weekday and weekend batches
- Lifetime access to recorded sessions
- Certification exam guidance
- 24/7 learner support
- Resume building and interview preparation
