 Название: Practical Data Migration, 3rd Edition
Автор: Johny Morris
Издательство: BCS, The Chartered Institute for IT
Год: 2020
Страниц: 317
Язык: английский
Формат: pdf (true), epub
Размер: 32.6 MB
This book is designed as a teach-yourself guide to data migration. It is written by a consultant with many years’ experience in data migration to give you a series of steps, developed in real-life situations, that will get you from an empty new system to one that is populated, working and backed by the user population. There are two types of reader who will find this book essential - the executive and the practitioner.
The executive will be the person sponsoring the bigger programme of which this a part, and signing off on the shutting down of existing systems and cutover to new ones. You may be a practising or a lapsed technologist or you may have no technological experience at all, but you want to know how to control a data migration project.
The practitioner is the technologist with the prospect of delivering a looming data migration project and sensibly reaching for assistance. You could also be a practitioner who is interested in moving into this area of activity.
Data migration projects take on many forms. The classic one is where a new system is to be implemented and needs to be primed with data from the legacy systems. This I call an enterprise application migration: the scale of the transformation is one of reengineering a significant function of an organisation or the whole organisation.
There are also system consolidation programmes, either spawned by businesses merging or by a drive for standardisation. There are system upgrades, and these also require data migration. However, whatever the spur for data migration, the same problems will have to be faced, and this book will guide you past the pitfalls. For the sake of simplicity and consistency, unless there is a specific reason to indicate differing approaches for different types of data migration, I am going to refer to the old/existing data as the ‘legacy’ and the destination as the ‘target’.
This book is system-neutral. It is aimed at large-scale data migration projects visible to the end-user population. It does not cover the detail of upgrading from one version of popular software to another, unless it involves unloading and reloading data, which may face all the issues of data preparation that a move to a different software platform would entail. It does not cover changes to operating systems or hardware. For every change like that there are courses available and, if there is a sufficiently large market, books will emerge. This book is aimed at the gap in the methodologies that allow you to develop the perfect system but say nothing about how you get the best legacy data out of the flaky old systems you are trying to leave behind.
This new edition is updated to take account of changes in technology and the maturing of the market for data migration services, with two brand new chapters. It guarantees to get the dirty old data out of your legacy systems and transform it into clean new data for your new system.
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