Practical Data Migration [NOOK Book]

Overview

This book is for executives and practitioners tasked with the movement of data from old systems to a new repository. It uses a series of steps developed in real life situations that will get the reader from an empty new system to one that is working and backed by the user population. Recent figures suggest that nearly 40% of Data Migration projects are over time, over budget or fail entirely. Using this proven methodology will vastly increase the chances of achieving a ...
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Practical Data Migration

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Overview

This book is for executives and practitioners tasked with the movement of data from old systems to a new repository. It uses a series of steps developed in real life situations that will get the reader from an empty new system to one that is working and backed by the user population. Recent figures suggest that nearly 40% of Data Migration projects are over time, over budget or fail entirely. Using this proven methodology will vastly increase the chances of achieving a successful migration.
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Product Details

  • ISBN-13: 9781780170411
  • Publisher: BCS Learning & Development Limited
  • Publication date: 9/15/2012
  • Sold by: Barnes & Noble
  • Format: eBook
  • Edition number: 2
  • Pages: 266
  • File size: 7 MB

Meet the Author

Johny Morris has over twenty years' experience in IT working as a programmer, analyst, project manager and data architect. He has worked for some of the biggest names in IT consultancy including CSC, Logica CMG and Price Waterhouse Coopers (PwC) and has been involved in large-scale migrations at Barclays Bank, National Grid Transco and the BBC.
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Table of Contents

Figures and tables
Author
Acknowledgements
Abbreviations
Glossary
Useful websites

INTRODUCTION

SECTION 1: EXECUTIVE OVERVIEW
1 Data migration: what's all the fuss
2 Ggolden rules and super smart tasks
3 PDMv2 overview
4 Creating a migration strategy

SECTION 2: TOOLS AND TECHNIQUES
5 Metadata and key business data area decomposition
6 Demilitarised zones and key data stakeholder management
7 Landscape analysis
8 Ssystem retirement plan
9 Data quality rules
10 Gap analysis and mapping
11 Migration design and execution
12 Legacy decommissioning

SECTION 3: FAILING DATA MIGRATION PROJECTS
13 Rescuing failing data migration projects

APPENDICES
A1 Configurable items
A2 Impact analysis frame
A3 Data migration strategy checklist
A4 Specimen DQR form
A5 Data mapping example

Index

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