Sunday, April 2, 2017
02:30 PM - 05:45 PM
Data Architecture is rapidly growing in scope. It is recognized as being distinct from Data Modeling and has traditionally involved laying out large-scale data stores, together with related components and services. However, it is also expanding into semantic areas that are closer to the business.
This tutorial explains the different types of data architecture and how they are carried out. Examples are provided to illustrate architecture tasks. Additionally, the need for governance over data architecture is described. Special emphasis is given to the role of higher-level architectural artifacts such as reference architectures, as well as the role of patterns in solution architectures. The need to provide business-oriented data architecture (such as types of master entities, conforming data transmission standards, and specifying integration requirements) is also covered. Emphasis is placed on establishing architectures at the enterprise level, and how these are carried down into more detailed tasks. The tutorial encompasses both data and information architectures.
Attendees will learn:
- The scope and mission of data architecture and how it fits with other kinds of architectural capabilities
- The core capabilities that have to be developed to successfully implement a data architecture function
- A top-down approach to data architecture with emphasis on reference architecture, logical data architecture and upper ontologies
- How to develop, utilize and, apply patterns in data architecture with practical examples
- How to develop appropriate governance processes for data architecture with examples provided
Malcolm Chisholm has over 25 years of experience in data management and has worked in a variety of sectors including finance, insurance, manufacturing, government, defense and intelligence, pharmaceuticals, and retail. He is Chief innovation Officer with First San Francisco Partners where he specializes in data governance, master data management, metadata engineering, business rules management/execution, data architecture and design, and the organization of Enterprise Information Management.
Malcolm is a well-known presenter at conferences in the US and Europe, writes columns in trade journals, and has authored the books "Managing Reference Data in Enterprise Databases," "How to Build a Business Rules Engine," and "Definitions in Information Management." He holds an M.A. from the University of Oxford and a Ph.D. from the University of Bristol and can be contacted at firstname.lastname@example.org.