Erwin Data Intelligence
Master erwin Data Intelligence and learn how to discover, catalog, govern, and manage enterprise data assets efficiently. This intermediate-level course covers metadata management, data cataloging, business glossary, data lineage, impact analysis, governance workflows, and enterprise data intelligence through practical, hands-on training.
Course Description
The erwin Data Intelligence course at Dhruv Technologies is an intermediate-level training program designed for data engineers, data architects, business analysts, data governance professionals, metadata specialists, and IT professionals who want to build expertise in enterprise data governance and metadata management using the erwin Data Intelligence platform.
This course provides comprehensive knowledge of how organizations manage and govern enterprise data by creating a centralized repository of metadata, business definitions, technical assets, and data lineage. Participants will learn how erwin Data Intelligence enables organizations to improve data discovery, maintain data quality, ensure regulatory compliance, and support informed business decision-making.
The curriculum covers erwin Data Intelligence architecture, Data Catalog, Metadata Management, Business Glossary, Data Lineage, Impact Analysis, Data Mapping, Data Governance Framework, Data Asset Management, Data Stewardship, Workflow Management, Data Quality Integration, Security, Reporting, Business Rules, REST APIs, and integration with enterprise databases, ETL tools, cloud platforms, and business intelligence solutions.
Through hands-on labs, real-world case studies, and enterprise implementation projects, learners will gain practical experience in configuring erwin Data Intelligence, managing metadata repositories, documenting business terms, implementing governance policies, analyzing data lineage, and supporting enterprise-wide data governance initiatives.
By the end of this course, participants will confidently implement erwin Data Intelligence solutions to improve enterprise data governance, enhance collaboration between business and technical teams, and ensure trusted, well-managed data across the organization.
Trainer
K
Kavya Iyer
Mobile & Cloud Trainer
9 years experience
Kavya delivers mobile and cloud training with real deployment workflows and app store publishing guidance.
Technologies Covered
erwin Data Intelligence
Data Governance Fundamentals
Metadata Management
Enterprise Data Catalog
Business Glossary
Data Dictionary
Data Lineage
Impact Analysis
Data Mapping
Data Asset Management
Data Stewardship
Governance Workflows
Workflow Automation
Data Quality Integration
Business Rules Management
REST APIs
Reporting & Dashboards
Security & Access Management
Enterprise Metadata Repository
Data Governance Best Practices
Projects
- Enterprise Data Catalog Implementation
- Metadata Repository Development
- Business Glossary Implementation
- Data Lineage Configuration
- Impact Analysis Solution
- Data Governance Framework
- Data Stewardship Implementation
- Enterprise Data Asset Management
- Metadata Integration Project
- End-to-End erwin Data Intelligence Implementation
FAQ
Data Engineers, Data Architects, Data Governance Professionals, Business Analysts, Metadata Specialists, Data Stewards, ETL Developers, and IT professionals interested in enterprise data governance.
Basic knowledge of SQL, databases, data modeling, ETL concepts, and data governance fundamentals is recommended before enrolling.
erwin Data Intelligence is widely used in Banking, Financial Services, Healthcare, Insurance, Retail, Manufacturing, Telecommunications, Government, and large enterprise organizations that require enterprise-wide data governance and metadata management.