Description
Metadata models are a critical component of a Managed Metadata Environment (MME). Their quality impacts the entire MME project since a flawed model compounds all other technical problems. However, creating high-quality models is one of the most difficult tasks to undertake; the stakes are high, and the task is intellectually very deep and demanding. Design of the metadata models is the foundation on which the rest of the metadata infrastructure rides—you must do them right and understand them.
All designs are compromises. A good design finds the balancing point for all the forces that constrain it. The forces at play in metadata modeling require extensibility and extreme flexibility. Without these traits in a high-quality metadata model, long-term metadata repository success is jeopardized. This class will show you how to initially construct and achieve extensibility and flexibility in your metadata model.
Metadata becomes very powerful when it integrates information across a wide domain compared to stove-piped metadata. The domains can cover business processes, databases, application systems, XML, data warehouses, EAI systems, and more. Without a cohesive model for that integration, the integration will have great difficulty, and the resulting metadata repository will be much less useful. This class helps you understand how to make integrated models. It will also provide a foundational set of integrated metadata models and lessons from relevant metadata standards, including ISO11179, CWM, DMTF, MDA, and other related standards.
The class is workshop-focused since design concepts are best learned from doing. The final workshops are oriented to solving problems that you have in your current projects. The workshops allow you to learn how the design forces interact, how a design evolves, and how to design in flexibility and extensibility.
This course provides participants with a practical, in-depth understanding of why metadata modeling is important to the success of the MME and how to deliver the best metadata models for your organization. Through case studies and team interaction, attendees will attain the real-world implementation skills necessary to build a successful metadata model and integrate industry standards into their meta models.