[{"_1":2,"_67":-5,"_68":-5},"loaderData",{"_3":4,"_37":38,"_65":-5,"_66":-5},"root",{"_5":-5,"_6":-5,"_7":8,"_22":-5,"_23":24,"_25":26,"_29":30,"_35":36},"user","shoppingCartId","shoppingCart",{"_9":10,"_11":12,"_13":14,"_15":16,"_17":18,"_19":20,"_21":14},"id","no-cart","count",0,"free",true,"updatedAt","2026-02-01T23:18:09.494Z","paymentGateway","STRIPE","cartItems",[],"loading","toast","locale","en","constants",{"_27":28},"paypalClientId","AX53Cwz8jR6rVVzzZiZNWWXl0dGagi-GZrjG-S3Ua14E5nrKMn7DxDQ730O4R8LusLPp49ALn6aRVaEy","publishers",{"_31":32,"_33":34},"companies",[],"universities",[],"needsLocaleCookieSync",false,"routes/_store+/_readers+/email_author.$slug/route",{"_39":40,"_64":-5},"book",{"_9":41,"_42":43,"_44":45,"_46":47,"_48":49,"_50":51},"Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvMzIzNzM","title","Metadata Recycling into Graph Data Models","state","retired","contactAuthorMethod","email","aboutText","

What if the database died some years ago, but you still have an old UML or XML file with the model in it. And you need to model the same domain for graph data bases? This is one of the scenarios this book intends to help you with.

There are 70+ ERD-supporting tools and 50+ UML tools, many of which are also used for data modeling. That translates to a lot of data models. Can they be \"recycled\", also in agile projects? There must be hundreds of thousands of good, reusable data models! Why waste such a large resource of business metadata?

Much similar to data science we have a need to (call it \"Metadata Science\") read, transform, scope / reduce / enhance and adapt data models to modern database technologies. Not least graph databases, if you ask me.

This book explains how to do that. Cypher®-scripts are included for Concept Maps (CmapTools®), CSDL, XML Schemas, StarUML v1 and UML® via various XMI® formats. The most recent addition is FileMaker® data models.

The book also explains how to optionallay build a simple graph-based metadata repository, which has full lineage back to the source data model, and it supports identities, uniqueness, mandatory fields and basic datatypes.

Cypher-scripts for repository handling are indeed also part of the book (under a MIT license).

We suggest a choice of two approaches:

Fast Track Data Models (agile)
Super Data Models (crafted, using the repository.

Looking for a graph database modeling tool? Now, everything you need for recycling of data models is available inside this book. 50+ scripts (and growing) plus the repository model providing data lineage.

Any inquiries about this book and the scripts can be sent to @VizDataModeler (info at graphdatamodeling dot com).

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