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A to Z Member List |
Courses and Seminars
The following courses have been endorsed by DAMA UK. If you are interested in participating in any of the courses or would like more information, please click on the links. EDM Works Courses Name of the course: EDM in Action Length: 1 day Speaker: Dennis Slattery email: dennis.slattery@edmworks.com
Name of the course: EDM Planning Length: 2 days Speaker: Dennis Slattery email: dennis.slattery@edmworks.com
Name of the course: EDM Architecture and Design Length: 3 days Speaker: Dennis Slattery email: dennis.slattery@edmworks.com
STEHLE Courses Name of event: Principles of Data Management This four-day course prepares candidates to sit the examination for the Certificate in Data Management Essentials, which can be counted towards the Information Systems Examination Board (ISEB) Business Systems Development (BSD) Diploma in Data Management. This course and the examination is appropriate for Data Management practitioners, IT/IS managers and business managers. The course covers: w The role and authority of a Data Management function. w Data Architecture concepts. w Project-level and corporate data modelling. w Data quality, naming, replication, integrity, security and recovery. w Database Administration, including physical data design, DBMS selection, managing the dbms, and performance measurement and tuning. w Industry trends and their effects on Data Management, including packaged software, distributed DBMS issues, data warehousing, OLAP and data mining systems, multi-media systems, internet and intranet-based systems, and object orientation. The examination for the ISEB Business Systems Development Certificate in Data Management Essentials is taken on the last afternoon of the course. Dates: Available as an in-house course. Organiser: Stehle Associates Contact: Tel: 020 7917 9943 Fax: 020 7917 9944 E-mail: david@stehle.co.uk website: www.stehle.co.uk
Name of event: Data Modelling This two-day course is designed to provide delegates with the key techniques of data modelling and data analysis that allow developers to satisfy the business information needs. Most importantly it provides experience-based advice and guidance on how to use them. Delegates acquire the skills necessary to define data needs and to develop a first cut relational database design that will meet system requirements. This course is aimed at analysts and designers, analyst programmers, database administrators and business staff involved with defining system requirements. Date: Available as an in-house course. Organiser: Stehle Associates Contact: Tel: 020 7917 9943 Fax: 020 7917 9944 E-mail: david@stehle.co.uk website: www.stehle.co.uk
Name of event: Corporate Data Modelling This two-day course is designed to provide a clear understanding of the pitfalls likely to be encountered when developing a corporate data model, along with strategies which can be used to overcome the problems. This course assumes a basic knowledge of data modelling techniques and the role of a data administration function. It is suitable for data managers and data administrators, business and data analysts and repository administrators. Date: Available as an in-house course. Organiser: Stehle Associates Contact: Tel: 020 7917 9943 Fax: 020 7917 9944 E-mail: david@stehle.co.uk website: www.stehle.co.uk
SEMINARS Enterprise Architecture: Zachman Certification: Zachman Enterprise Architecture MasterClass™ Part 1: Framework Fundamentals John Zachman, 2-3 March 2010, 12-13 October 2010 This two day seminar, presented by John Zachman himself, Father of Enterprise Architecture, is designed for enterprise professionals of every discipline including non-information disciplines as well as information disciplines. The seminar provides the bedrock for understanding Enterprise Architecture and The Zachman Framework™. Seminar topics include Business Drivers for Enterprise Architecture; The Zachman Framework™; Architecture versus Implementation; Enterprise Architecture Implementation Practicalities; Four Frameworks for Knowledge Management; Simplifying the Enterprise; Reducing I/S ‘Time-to-Market’; Federated Architecture. Delegates will learn:
http://www.irmuk.co.uk/events/3.cfm Zachman Enterprise Architecture MasterClass™ Part 2: Enterprise Implementation Strategy Examples
Stan Locke, 4-5 March 2010, 14-15 October 2010, London This seminar will show you how to strategically implement Enterprise Architecture in your organization. It will explain how the underlying constructs of the Zachman Framework™ support business agility and demonstrate this with real world examples of what to do and not to do when architecting an Enterprise. Delegates will learn:
http://www.irmuk.co.uk/events/43.cfm
Zachman Enterprise Modelling Workshop & Certification Stan Locke, 8-10 March 2010, 18-20 October 2010, London This workshop is only applicable to delegates who have attended the Enterprise Architecture Masterclass Parts 1 and 2. It is the final required component for completion of the Zachman Certification. It is designed to bridge the gap between the conceptual and the practical. The concepts presented in the MasterClass provide the bedrock for understanding Enterprise Architecture and The Zachman Framework™, however the catalyst for bringing these concepts together is application. The modelling workshop is designed for just that - applied knowledge. Delegates will learn: · Build primitive models for every Cell of The Framework. · Build the Enterprise's Architecture piece by piece. · Integrate the Enterprise implementation by (horizontal) associations. · Ensure alignment and transformation Quality through the (vertical) associations. · Define implementation phase boundaries (Enterprise Architecture planning). · Use Enterprise Architecture in the day-to-day management and operation of the Enterprise. http://www.irmuk.co.uk/events/88.cfm
Data Management: Steve Hoberman, 15-16 February 2010, 20-21 September 2010, London This seminar and workshop contains a complete explanation of data modelling concepts and terminology, along with techniques for producing solid relational and dimensional data models. This course is designed to give you a practical understanding of data modelling that can be applied to your current projects. It is for anyone who needs formal data modelling training. This includes those new to data modelling or in need of a refresher who need to be able to understand, build, or implement data models as part of their job. Delegates will learn: · Data modelling concepts and terminology · How to read a data model · Steps to building a subject area model · Logical data modelling techniques of normalization, abstraction, and dimensionality · Physical data modelling techniques of denormalization, partitioning, views, and indexing http://www.irmuk.co.uk/events/72.cfm
Steve Hoberman, 17-18 February 2010, 22-23 September 2010, London This interactive seminar and workshop is for anyone who already knows modelling fundamentals and is seeking more advanced techniques. In this Masterclass, delegates will first apply a best practices approach to building and validating data models through the Data Model Scorecard™, a tool for validating data model quality. Delegates will then focus on a collection of intermediate and advanced modelling techniques, including advanced normalization and enterprise data modelling. The final section contains guidelines used to gain consistency across data models in areas such as in abstraction and whether to star schema or snowflake. Delegates will learn: · How to apply the Data Model Scorecard™ · Advanced normalization rules and limitations of the logical data model · A value-driven approach to building the enterprise data model · Techniques for converting the logical into an physical design · Factors to consider in deciding whether to Star Schema or Snowflake · Three key questions to ask yourself before you abstract · When to use a surrogate key http://www.irmuk.co.uk/events/68.cfm
DW 2.0: Next Generation of Data Warehousing Bill Inmon, 29-30 April 2010, London In the two decades that data warehousing has been around, there has been much change. Today, there are many different renditions of what a data warehouse is and there is no integrity in the definition of what a data warehouse is. Now there is DW 2.0 which is the definition of data warehouse architecture for the future of data warehousing. In this 2 day seminar, Bill Inmon, the Father of Data Warehouse, describes what DW 2.0 is and addresses what data warehousing for the future will look like. Delegates will learn: · What the architecture for the future of data warehousing looks like · How metadata fits into DW 2.0 · The levels of data of DW 2.0 – interactive, integrated, near line, archival · How unstructured data can be gathered and integrated into a data warehouse · The flow of data from outside of DW 2.0, into DW 2.0 and out of DW 2.0 · Why data warehouses do not have to cost a huge amount of money, even when they contain a lot of data and have lots of users · The fundamental transformation of data that takes place as data passes through ETL processing · The role of new data warehouse technologies such as Talend, Dataupia, SeaTab, Kalido, and others · The migration path from existing 1st generation data warehouses to DW 2.0 · The issues of data base design in different parts of the DW 2.0 environment · The issues of building a data warehouse on a fluid foundation that can be changed as business requirements change http://www.irmuk.co.uk/events/79.cfm
Information Quality Improvement Larry English, 12-14 April 2010, London Poor information quality costs organizations 10-20% of operating revenue in process failure and “information scrap and rework” in direct costs with missed opportunity costs often greater. This seminar, presented by Larry English, Father of Information Quality, describes quality principles applied to business and systems processes in order to achieve effective business performance. It provides guidelines for implementing an effective IQ environment Delegates will learn: · How to define information quality and its three components · Describe categories of information quality tools and how to use them · Describe how to measure information definition and content quality · Describe how to measure costs of non quality information · Describe how to re-engineer and correct data and implement audits and control for data movement · Conduct an information quality process improvement initiative · Describe how to organize and manage an information quality environment http://www.irmuk.co.uk/events/46.cfm
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