World-Class Meta Data Training
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Overview of Meta Data Management

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 a MME their IT departments cannot properly manage their systems and that their systems are not providing true value to the business end user. A MME is the system that manages your company’s systems. This overview presents the lessons learned from companies that have successfully deployed MMEs. 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, how to calculate return on investment (ROI), form a team, and develop a project plan, market analysis of meta data integration products, methodology for defining an attainable project scope.
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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.
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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.
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Creating and Implementing a Meta Data Strategy

Meta data is a critical component of business as it is the information about the data stored in an organization's systems. If a company is attempting to use data effectively, it must fully understand the meta data that supports that data. This requires a strategy for meta data management - a strategy most organizations do not currently have.
This seminar will offer a methodology for creating and implementing a meta data management strategy, based upon actual experiences of the presenter at several companies. The attendee will gain an understanding of the value of meta data management, the various types of meta data, meta data's role in the data-information-knowledge continuum, and a plan for instituting a meta data strategy within their organization. Each attendee will create a meta data strategy for their organization and have the opportunity to review it with the instructor and other participants.
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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.
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 Dr. Anne Marie Smith, our Director of Education at AMSmith@EWSolutions.com or call her at 856.468.6194