Current Public Seminars
2-Day Seminar
Practical Metadata Strategies and Fundamentals
Click here for an in-house quote request or for further information regarding in-house training.
Overview
Surveys show that management typically does not understand the need
to manage metada. Consequently, today's metadata initiatives must deliver
immediateROI. This seminar demonstrates how organizations have successfully
gotten started and made rapid metadata progress in today's environment
by applying modern metadata strategies and concentrating on the fundamentals.
Upon completion, delegates will be able to articulate and implement
metadata programs, reduce integration costs and increase information
asset quality and utility.
- Understand the basic theories and guidance used to incorporate metadata into existing and planned data management solutions
- Comprehend the many complimentary characteristics between metadata and data management practices
- Grasp the general utility to be gained from various metadata repository solutions and technologies
- Appreciate the many ways that the XML component architecture can be used to compliment metadata implementation efforts
- Articulate the business value of proposed metadata projects
Metadata Management: an evolving concept
- Definitions, metadata shapes, sizes, sources and examples
Metadata Motivation
- Legal, financial, technical and effectiveness incentives
Managing Metadata
- Metadata management, engineering, architecture, quality uses
Metadata Models
- Common Metadata Models, CWM, MOF
The Repository
- Traditional (CA, Rochade) and non-traditional (Metamatrix, ETL and EAI-base)
Other Metadata Technologies
- XML/XMI, business rule engines, profiling technologies
Building the Metadata Business Case
- Using metadata capabilities to deliver business value during a single budget cycle
Metadata Design Solutions Patterns
- Numerous implementation examples illustrating how to save money using metadata
Special Features
- Drawn from years of practical experience, this seminar delivers exceptional take-away value including how to measure success, staff a project team, define roles and responsibilities, where to find resources to jump-start your projects, and identify how and where to get started.
- All delegates will receive a copy of XML in Data Management (written by Peter Aiken) and a CD/ROM containing copies of the course materials and supplemental examples and information offering many hours of post-seminar learning opportunities.
Audience
Data and technology managers who want to derive more value from
existing and proposed systems. They are anxious to understand how metadata
can be productively implemented. The seminar assumes no prior knowledge
of metadata.
- IT Manager
- IT Consultant
- Systems Analyst
- Systems Manager
- Systems Developer
- Technical Architect
- Data Manager
- Data Architect
- Business Analyst
- Project Manager
In-House Training
If you require a quote for running an in-house course,
please contact us with the following details:
- Subject matter and/or speaker required
- Estimated number of delegates
- Location (town, country)
- Number of days required (if different from the public course)
- Preferred date
Please contact:
Jeanette Hall
E-mail: jeanette.hall@irmuk.co.uk
Telephone: +44 (0)20 8866 8366
Fax: +44 (0)1923 828 770
Speaker: Peter Aiken
Institute for Data Research

Peter Aiken is the Chief Executive Officer of the Institute for Data Research and an Associate Professor of Information Systems, Virginia Commonwealth University. He has worked with many organisations to help them form data management strategies and evaluate the use of new technologies within the area of data engineering and its relationship to systems and business engineering. In 2001 he was awarded the DAMA International Achievement Award and he has been a DAMA International Advisor since 1999. He is the author of Data Reverse Engineering and Clive Finkelstein's co-author of Building Corporate Portals Using XML (McGraw-Hill 1996/99). Mr. Aiken is the co-author of the book "XML in Data Management" published by Elsevier.

