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COURSE Title:
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IRM IN CLIENT/SERVER, DISTRIBUTED, AND DATA WAREHOUSE ENVIRONMENTS |
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Why This Course?
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The advance of technologies, such as client/server, data warehouse, and data distribution are reshaping the roles of both application development and data management. Data management is taking on increasing importance to enable competitive advantage business process re-engineering and value-adding to the information resource through the data warehouse.
In this seminar you learn how to implement effective data management processes to manage data in client/server, distributed, and data warehouse environments as an enterprise resource. Management, technical, and organizational issues required to implement data resource management (DRM) effectively in the distributed and decentralized computing environment are addressed. Potential pitfalls facing DRM in the client/server environment are identified along with guidance on how to avoid them.
The key to successful exploitation of any new technology is understanding the underlying paradigm and re-thinking the rules and regulations of that paradigm. This seminar illustrates guidelines and techniques for modeling client/server applications and data.
The term "data warehouse" is an unfortunate term. This seminar focuses on the fact that the data warehouse is a "distribution center" used to "informate" knowledge workers.
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Learning Outcomes:
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Upon completion of this seminar, you will be able to:
- Describe the client/server and data warehouse paradigm and their impact on data management
- Describe DRM objectives for distributed data
- Describe distributed DRM functions and responsibilities in a decentralized I/S organization
- Develop information policy to enable management of distributed data and decentralized development
- Develop effective data standards and procedures for client/server and data warehouse
- Describe an architectural approach for client/server applications and data
- Describe techniques for implementing integrity and security for client/server and distributed data
- Describe techniques for managing "redundancy" and distributed data in the client/server and data warehouse environments
- List major inhibitors to DRM and describe steps to avoid them
- Describe steps to transition to a distributed DRM function
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Audience:
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Information systems managers, data resource managers, data administrators, database administrators, data analysts, data warehouse managers and staff, information systems planners, database designers, and application developers involved in client/server application development
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Format:
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Lecture with discussion to reinforce the concepts
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Duration:
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3 Days
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Pre-requisites:
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Basic knowledge of data management principles or a basic knowledge of client/server or data warehouse
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Abstract:
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ABSTRACT: The advance of technologies, such as client/server, data warehouse, and data distribution are reshaping the roles of both application development and data management. Data management is taking on increasing importance to enable competitive advantage business process re-engineering and value-adding to the information resource through the data warehouse.
In this seminar you learn how to implement effective data management processes to manage data in client/server, distributed, and data warehouse environments as an enterprise resource. Management, technical, and organizational issues required to implement data resource management (DRM) effectively in the distributed and decentralized computing environment are addressed. Potential pitfalls facing DRM in the client/server environment are identified along with guidance on how to avoid them.
The key to successful exploitation of any new technology is understanding the underlying paradigm and re-thinking the rules and regulations of that paradigm. This seminar illustrates guidelines and techniques for modeling client/server applications and data.
The term "data warehouse" is an unfortunate term. This seminar focuses on the fact that the data warehouse is a "distribution center" used to "informate" knowledge workers.
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The Information Age: New Paradigms for Information Management
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- Client/server paradigm
- Data warehouse (distribution center) paradigm
- Why DRM is essential in the distributed data development
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The Objectives and Functions of Distributed Data Resource Management (DDRM)
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- How client/server and data warehouse affects DRM objectives
- Distributed DRM responsibilities
- Developing a responsibility matrix
- DRM's role in the business value chain
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DRM Tools for Managing Client/Server and Data Warehouse Data
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- DBMS server, client and middleware technologies
- CASE support for distributed data
- Repository as a management tool
- Repositories and data warehouse information directories
- Data warehouse filtering, analysis and access tools
- Meta models for client server and data warehouse
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Distributed Data Policies and Standards
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- Establishing information policy for distributed data management
- Effective data standards for client/server
- Effective data standards for data warehouse
- Security guidelines for client/server
- Gaining consensus definition
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Information Architecture for Enterprise Client/Server Development
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- Zachman ISA framework applied to client/server development
- Strategic information planning
- Resource subject areas
- Distributed data architectures
- Strategic technology architecture
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Modeling Client/Server Data and Processes
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- A framework for modeling client/server applications and data
- Distributed data and process modeling
- Data and event models
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Data Integrity Design for Client/Server
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- Client/server architecture alternatives
- Using triggers and stored procedures effectively
- Business rules: a behavioral model
- Integrity policies: client versus server implementation
- Encapsulated development
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Designing and Managing the Data Warehouse
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- Data warehouse components
- The warehouse data model
- Mapping operational data to the warehouse model
- Modeling transform rules
- Strategic use of the warehouse data model
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Distributed Database Management: Managing Redundant Data
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- Migration/coexistence guidelines and strategies
- Redundancy/replication management
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The Distributed Data Resource Management Organization
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- I/S organization for distributed data and data warehouse
- Distributed DRM organization
- Information stewardship and accountability for distributed data
- Re-equipping the I/S professional for tomorrow?s information technologies
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