ISBN 9781902505718,Practical Data Migration

Practical Data Migration

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ISBN 9781902505718
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ISBN 9781902505718
Publisher

BCS Learning & Development Limited

Publication Year 2008
ISBN-13

ISBN 9781902505718

ISBN-10 1902505719
Binding

Paper Back

Number of Pages 224 Pages
Language (English)
Subject

Databases

Every company restructure, new system implementation, takeover, merger or de-merger relies on the success of merging or partitioning data.

Practical Data Migration offers techniques and strategies for ensuring data migration projects achieve maximum return on investment. This book provides a structured approach enabling you to get the right data, in the right place, at the right time. It features: original methods; ideas on rescuing ailing projects; and a model of best practice to be used as a starting point for implementation of the methods.
Practical Data Migration provides clear definitions of commonly used jargon. It relates rapid application development theory to data migration and explains the role of traditional metadata modelling concepts. All blended with real life examples. Practical Data Migration:

provides tried and tested approaches, strategies and techniques for ensuring projects run smoothly, with minimal disruption to organizations.
is independent of operating system, target system, data migration tool or industry.
is a business facing approach, with real life examples and hints that have been shown to work in practice.

About the Author
JOHN MORRIS has worked as a programmer, analyst, project manager and data architect. An independent contractor for the last ten years, his clients have included some of the biggest names in IT including CSC, Logica CMG and Price Waterhouse Coopers (PwC). He has been involved with large-scale migrations with companies including Barclays Bank, National Grid Transco and the BBC.

Table of Contents
Introduction
Part One Reasons and Methods
Reasons
The Golden Rules
Data Stakeholders
Four Key Concepts
Data Quality Rules
Data Gaps and Data Mapping
Non-functional Requirements
Part Two Specimen Project
Project Overview
Stage 0 Project Initiation
Stage 1 Data Preparation
Stage 2 Data Preparation
Stage 3 Build, Test and Go Live
Part Three Rescuing Data Migration Projects
Data Migration Projects That Have Gone Wrong: A Survival Guide
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