How Do We Work With Denodo?
IR Company uses Denodo as a logical data integration layer connecting enterprise databases, data warehouses, data lakes, and object storage platforms. Based on customer requirements, we design standardized data models consisting of base views, integrated views, and business or service views. We use the Denodo Data Catalog and metadata capabilities to help users discover, understand, and reuse data more effectively. We also implement row- and column-level security, masking, and governance policies, while delivering data to BI platforms, analytics systems, and AI services through JDBC and REST APIs.
What Are Our Core Specialties in Partnership with Denodo?
IR Company’s core areas of expertise include data integration consulting, architecture design, platform implementation, and operational support. We connect diverse databases, data lakes, object storage platforms, and business applications to create secure and agile data environments. Our strengths include Denodo-based logical data modeling, virtual view design, metadata and data catalog implementation, access control, and personal data protection. By combining industry knowledge in the public, financial, and healthcare sectors with AI and analytics capabilities, we deliver data platforms tailored to each customer’s technical environment and business requirements.
What Are the Benefits We Provide in This Partnership?
The partnership between IR Company and Denodo enables customers to integrate and access distributed data without unnecessary physical replication or complex data movement processes. Customers can reduce development time and cost while improving data consistency, reliability, and reuse through standardized logical data models. We also help establish secure data environments with user-based access control, data masking, metadata management, and data lineage. As a result, customers can provide trusted data more quickly to analytics platforms, reporting systems, AI services, and new business applications, accelerating both operational efficiency and data-driven decision-making.
