The Data Model Toolkit - Knifton, Dave

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Résumé :
This book is a key resource that explains step by step, the essential skills required to rigorously construct and quality assure Logical Data Models. It also defines the processes required for organisations to successfully adopt them, and so align their systems, operations and strategic direction. In the last decade, Data Models have made the transition from being ad-hoc and limited in scope, to becoming a central pillar of the Enterprise Data Architectural landscape. Arguably they are now more important than ever. It is only with a full and agreed understanding of the 'What?', 'When?' and 'How?' of an organisation's data structures and flows, that we can, for example; contemplate plugging COTS products together, implement in the Cloud, ingest data into our Data Lakes, or report across the Enterprise system landscape. No technical background is required to gain a full benefit from the book, it and is relevant for all organisations and data realms. It provides numerous explanations, examples, check lists and templates to provide the reader with a wealth of practical material that will speed their ability to start data modelling effectively and confidently.

Biographie:
Dave Knifton currently works as a lead global data architect for a major blue-chip multinational. He has a passion for data architecture and has gained extensive experience of it from a wide range of business sectors across the globe in over 30 years. His professional life has included many varied milestones including, modelling military aircraft to check their stability and keep them in the sky, setting up and managing Oracle Education Australia, founding several dynamic Oracle consultancies, spinning up successful online ventures, delivering centres of excellence for a number of clients and coarchitecting a major Australian commercial bank's award-winning online capability from scratch. He is also a passionate educator and has delivered technical and business training for thousands of students through Oracle, its partners and tailored workshops for his own consultancies' clients. In the last few years, he has also developed data architecture course material for US and UK based Universities. A few years ago, he started to write a popular series of books on data architecture and you might find these two are useful companions to this book.