Practical Data Migration, 3rd Edition
by Johny Morris
- Length: 314 pages
- Edition: 3
- Language: English
- Publisher: BCS
- Publication Date: 2020-10-07
- ISBN-10: 1780175140
- ISBN-13: 9781780175140
- Sales Rank: #2068785 (See Top 100 Books)
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.
Front Cover Half-Title Page BCS, THE CHARTERED INSTITUTE FOR IT Title Page Copyright Page Dedicatoin Contents List of figures and tables Author Acknowledgements Abbreviations Glossary Introduction What is the purpose of this book and who should read it? What type of data migration is covered? What is not covered in this book? The executive reader The practitioner What is new to version three of Practical Data Migration? Paragraph styles Section 1: Principles and Overview 1. Data Migration: What’s All the fuss? What is data migration? Waterfall vs Agile 2. Golden Rules and Super Smart Tasks Golden Rules – the underlying principles in the book Super SMART Tasks and the mid-change cycle slump 3. PDMV3 Overview Agile and Waterfall Introducing the model Introducing technology PDMv3 provides all the answers 4. Migration Strategy and Governance Starting out on the right foot PDMv3 data migration strategy Control flows and project reporting Data migration strategy checklist Agile Getting the data migration strategy implemented Section 2: Details 5. DQR Introducing data quality rules (DQR) DQR definition Waterfall vs Agile How are DQRs created? Long-running DQRs Software support Role of the DMZ 6. Demilitarised Zones and Protecting Commercial Interests The demilitarised zone (DMZ) Definition of the DMZ The impact of the DMZ Conclusion 7. Metadata and Key Business data area Decomposition Metadata and PDMv Project decomposition and key business data areas 8. Key data Stakeholder Management Introduction to key data stakeholders Key data stakeholder management and landscape analysis 9. Business Transformation Realisation Waterfall vs Agile Why business transformation realisation? 10. Landscape Analysis Waterfall vs Agile What is landscape analysis and why do we do it? Legacy data stores Profiling, data gaps and master data management 11. Gap Analysis and Mapping Waterfall vs Agile Gap analysis Data quality monitoring as a service Data mapping Data mapping is data migration? Data mapping, Agile vs Waterfall Inputs and outputs for data mapping 12. Migration Design and Execution Migration end-to-end design Extract, transform and load design Technical design Outputs of ETL design Decommissioning design Migration build, test and execute 13. Data Migration Testing Role of the DQR process DQRs – practical reasons Triage and root cause analysis Types of data migration testing 14. Legacy Decommissioning Waterfall vs Agile Executing the decommissioning design 15. Agile, Waterfall and Blended Three approaches to enterprise application migration 16. Release and Configuration Management Why releases? Section 3: Rescuing Failing Data Migration Projects 17. Rescuing Failing data Migration Projects Recovery starts here Phases of recovery Appendices A1 Configurable Items A2 Impact Analysis Frame A3 Data Migration Strategy Checklist A4 DQR data Fields A5 Data Mapping Impact of technology Index Back Cover
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