World-Class Meta Data Training
Meta Data Fundamentals
Creating a managed meta data environment that is accessible and relevant to its users is essential to an organization's successful use of their information assets. This course provides attendees with an overview of full lifecycle strategy and methodology for defining meta data requirements, analysis of the meta data tools market, specific ROI definition, capturing/integrating meta data, and accessing the managed meta data environment. The managed meta data environment provides the developers and users with a road map to the rich, strategic information contained within an organization’s data warehouse. “Meta Data Fundamentals” is an excellent introductory course for data administrators, data management team members, enterprise architects and C-Level executives.
Overview of Meta Data Management
With the explosion of available data and the need for understanding this data, corporations have realized the value of meta data its importance to their businesses to thrive in increasingly competitive markets. Understanding meta data is essential to transforming data into information, usable across the enterprise. This overview presents the lessons learned from companies that have successfully implemented managed meta data environments. The real-world MME case studies will be used to demonstrate the importance of having a methodology for defining meta data requirements, capturing and integrating meta data, understanding the meta data return on investment (ROI), meta data integration products, and provide a basic methodology for defining an attainable meta data management project scope.
Creating and Implementing a Meta Data Strategy
Many organizations today have begun to realize that the data and information they create every day are valuable enterprise assets. Those with accessible and higher quality information will make more informed and more effective business decisions. This is true for all organizations since all enterprises need quality information to guide their decision-making and to provide optimum service to their customers.
This course will provide a practical roadmap for designing and implementing an enterprise data management initiative. This includes identifying the specific steps that are required for aligning each of the most common enterprise data management focus areas. Workshops will include data governance and stewardship approaches and structures for each of these areas and students will develop a plan for their organization to achieve the goals of EIM implementation.
Meta Data Modeling Design and Implementation
Meta data models are a critical component of a Managed Meta Data 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 meta data models is the foundation on which the rest of the meta data infrastructure rides, you must do them right and understand them. Meta data becomes very powerful when it integrates information across a wide domain compared to stove-piped meta data. Meta Data Modeling Design and Implementation is an excellent course for data administrators, data administration team members, database administrators, systems analysts, and business analysts.
Managed Meta Data Environment (MME) Full Life-Cycle Guide
Meta data is one of the hottest arenas in information technology today. Corporations have realized the value of meta data and the absolute need for it in order for their businesses to thrive in increasingly competitive markets. Building a managed meta data environment (MME) is no longer an option, but an absolute requirement for corporations. Companies have realized that without an MME their IT departments cannot properly manage their systems and that their systems are not providing true value to the business end user. An MME is the system that manages your company’s systems.
This practical course leverages the lessons learned from companies that have successfully deployed MMEs. Real-world MME case studies will be used to demonstrate the importance of having a methodology for defining meta data requirements, capturing and integrating meta data. You will learn to calculate return on investment (ROI), form the right team, and develop a project plan including a methodology for defining an attainable project scope. This course provides a walkthrough of a detailed meta data model, advanced meta data architectures and pulse-of-the-market analysis of meta data integration tool vendors.
To learn more about how EWSolutions can provide our World-Class Training for your company or to request a quote, please feel free to contact David Marco, our Director of Education at DMarco@EWSolutions.com.