Graph Data Modeling Nosql by Frisendal Thomas (27 results)

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Paperback. Condition: new. Paperback. Master a graph data modelling technique superior to traditional data modelling for both relational and NoSQL databases (graph, document, key-value, and column), leveraging cognitive psychology to improve big data designs. From Karen Lopezs Foreword: In this book, Thomas Frisendal raises important questions about the continued usefulness of traditional data modelling notations and approaches: Are Entity Relationship Diagrams (ERDs) relevant to analytical data requirements? Are ERDs relevant in the new world of Big Data? Are ERDs still the best way to work with business users to understand their needs? Are Logical and Physical Data Models too closely coupled? Are we correct in using the same notations for communicating with business users and developers? Should we refine our existing notations and tools to meet these new needs, or should we start again from a blank page? What new notations and approaches will we need? How will we use those to build enterprise database systems? Frisendal takes us through the history of data modelling, enterprise data models and traditional modelling methods.He points out, quite contentiously, where he feels we have gone wrong and in a few places where we got it right. He then maps out the psychology of meaning and context, while identifying important issues about where data modelling may or may not fit in business modelling. The main subject of this work is a proposal for a new exploration-driven modelling approach and new modelling notations for business concept models, business solutions models, and physical data models with examples on how to leverage those for implementing into any target database or datastore. These new notations are based on a property graph approach to modelling data. From the authors introduction: This book proposes a new approach to data modelling -- one that turns the inside out. For well over thirty years, relational modelling and normalisation was the name of the game. One can ask that if normalisation was the answer, what was the problem? There is something upside-down in that approach, as we will see in this book. Data analysis (modelling) is much like exploration. Almost literally. The data modeler wanders around searching for structure and content.It requires perception and cognitive skills, supported by intuition (a psychological phenomenon), that together determine how well the landscape of business semantics is mapped. Mapping is what we do; we explore the unknowns, draw the maps and post the Here be Dragons warnings. Of course there are technical skills involved, and surprisingly, the most important ones come from psychology and visualisation (again perception and cognition) rather than pure mathematical ability. Two compelling events make a paradigm shift in data modelling possible, and also necessary: 1.The advances in applied cognitive psychology address the needs for proper contextual framework and for better communication, also in data modelling, and 2. The rapid intake of non-relational technologies (Big Data and NoSQL). Master a graph data modeling technique superior to traditional data modeling for both relational and NoSQL databases (graph, document, key-value, and column), leveraging cognitive psychology to improve big data designs. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Condition: New. Num Pages: 300 pages, illus. BIC Classification: UMT. Category: (P) Professional & Vocational. Dimension: 235 x 190. Weight in Grams: 422. . 2016. First. Paperback. . . . .

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Condition: New. Num Pages: 300 pages, illus. BIC Classification: UMT. Category: (P) Professional & Vocational. Dimension: 235 x 190. Weight in Grams: 422. . 2016. First. Paperback. . . . . Books ship from the US and Ireland.

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Paperback. Condition: new. Paperback. Master a graph data modelling technique superior to traditional data modelling for both relational and NoSQL databases (graph, document, key-value, and column), leveraging cognitive psychology to improve big data designs. From Karen Lopezs Foreword: In this book, Thomas Frisendal raises important questions about the continued usefulness of traditional data modelling notations and approaches: Are Entity Relationship Diagrams (ERDs) relevant to analytical data requirements? Are ERDs relevant in the new world of Big Data? Are ERDs still the best way to work with business users to understand their needs? Are Logical and Physical Data Models too closely coupled? Are we correct in using the same notations for communicating with business users and developers? Should we refine our existing notations and tools to meet these new needs, or should we start again from a blank page? What new notations and approaches will we need? How will we use those to build enterprise database systems? Frisendal takes us through the history of data modelling, enterprise data models and traditional modelling methods.He points out, quite contentiously, where he feels we have gone wrong and in a few places where we got it right. He then maps out the psychology of meaning and context, while identifying important issues about where data modelling may or may not fit in business modelling. The main subject of this work is a proposal for a new exploration-driven modelling approach and new modelling notations for business concept models, business solutions models, and physical data models with examples on how to leverage those for implementing into any target database or datastore. These new notations are based on a property graph approach to modelling data. From the authors introduction: This book proposes a new approach to data modelling -- one that turns the inside out. For well over thirty years, relational modelling and normalisation was the name of the game. One can ask that if normalisation was the answer, what was the problem? There is something upside-down in that approach, as we will see in this book. Data analysis (modelling) is much like exploration. Almost literally. The data modeler wanders around searching for structure and content.It requires perception and cognitive skills, supported by intuition (a psychological phenomenon), that together determine how well the landscape of business semantics is mapped. Mapping is what we do; we explore the unknowns, draw the maps and post the Here be Dragons warnings. Of course there are technical skills involved, and surprisingly, the most important ones come from psychology and visualisation (again perception and cognition) rather than pure mathematical ability. Two compelling events make a paradigm shift in data modelling possible, and also necessary: 1.The advances in applied cognitive psychology address the needs for proper contextual framework and for better communication, also in data modelling, and 2. The rapid intake of non-relational technologies (Big Data and NoSQL). Master a graph data modeling technique superior to traditional data modeling for both relational and NoSQL databases (graph, document, key-value, and column), leveraging cognitive psychology to improve big data designs. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Master a graph data modeling technique superior to traditional data modeling for both relational and NoSQL databases (graph, document, key-value, and column), leveraging cognitive psychology to improve big data designs. 216 pp. Englisch.…

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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. &Uumlber den AutorThomas Frisendal is an experienced database consultant with more than 30 years on the IT vendor side and as an independent consultant. He has worked with databases and data modeling since the late 70s since 1995 prima.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Master a graph data modeling technique superior to traditional data modeling for both relational and NoSQL databases (graph, document, key-value, and column), leveraging cognitive psychology to improve big data designs.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Master a graph data modeling technique superior to traditional data modeling for both relational and NoSQL databases (graph, document, key-value, and column), leveraging cognitive psychology to improve big data designs.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 216 pp. Englisch.…

Taschenbuch. Condition: Neu. Graph Data Modeling for NoSQL and SQL | Visualize Structure and Meaning | Thomas Frisendal | Taschenbuch | Kartoniert / Broschiert | Englisch | 2016 | Technics Publications | EAN 9781634621212 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…