Download PDF A Check List for Doing Data Model Design Reviews (Better Data Modeling Book 1), by Kent Graziano
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A Check List for Doing Data Model Design Reviews (Better Data Modeling Book 1), by Kent Graziano
Download PDF A Check List for Doing Data Model Design Reviews (Better Data Modeling Book 1), by Kent Graziano
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Tired of crappy data models and whiney data modelers? Need to deliver a high quality design in a short period of time? Need a better way to enforce standards? As part of trying to be more “agile” in my approach to developing databases, I have adopted concept from the agile world: peer reviews. Before any data model moves from analysis (logical model) into development (physical model), the development team needs to gather to review what the modeler has done. If the model passes the review (almost never on the first round), the physical model is constructed. The physical model is then subjected to a rigorous review as well (including metadata). Only then can DDL be produced and deployed. This guide book will discuss the actual modeling and design process I follow and give you a check list of questions to ask in any model review session. This is a “take no prisoners” approach that has left many a would-be data modeler in a withering heap, but in the end you will have solid models and designs that deliver value.
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- Sales Rank: #867305 in eBooks
- Published on: 2012-07-31
- Released on: 2012-07-31
- Format: Kindle eBook
Most helpful customer reviews
1 of 1 people found the following review helpful.
A Review of A Check List for Doing Data Model Design Reviews
By Richard Soule
This book is exactly what it's title says it is, a check list for doing data model design reviews. Kent walks you through the process that he's developed during his almost 30 year career.
While the book is a very quick read, it really delivers on it's premise.
Kent breaks out his process with sections on Standards and Processes, Logical Modeling, and Physical Modeling and wraps it up with some good cautions (born from experience I'm sure).
Note that this book assumes that you already know what data modeling is and how to do it. It uses terms that are very well known to data modelers but if you are new to data modeling then you are going to want to pick up an additional book on the actual data modeling process.
I'd recommend this book to folks who don't yet already have a systematic process for doing data model design reviews, or for folks who are considering hiring a data modeler to do some work for them and want to ensure that the modeler follows a systematic process instead of just winging it. Of course if you are hiring Kent to do data modeling for you (and you should if you can), then you probably don't need to buy this book. :)
Data modeling can often be a mixture of art and science and by using Kent's book you can swing the pendulum a bit more towards the science side.
I debated between a 4 and 5 star review of this book and ultimately decided to go with a 5 star review for the following reason: At the cost of the book it will pay for itself many times over by catching just one item that may have slipped through the cracks if you didn't have Kent's checklist.
1 of 1 people found the following review helpful.
Nothing Earth Shattering - just common sense
By Hunter J. Camper
I've been in IT for nearly 39 years and the 14-page paper didn't offer any more than what I have been doing over the years. It’s common-sense in writing. The one big drawback is that you have to either buy a kindle to get the paper or download kindle software to your computer then access the book. Once you do that, you can only read it. You have no privileges, which is strange because if you want to reference something in the book and give Kent the credit, you can type whatever you are referencing and then footnote it with Kent's credentials. Nice paper for a novice.
1 of 1 people found the following review helpful.
To the Point
By LAURA H.
I like the no nonsense approach. It is a great outline to carry with you. So easy to refer to in a hurry. Well done Kent!
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