Graph Data Modeling Nosql by Frisendal Thomas (25 results)
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: Used - As new
£ 36.50
£ 1.97 shippingShips within U.S.A.Quantity: Over 20 available
Condition: As New. Unread book in perfect condition.
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: New
£ 49.87
£ 1.97 shippingShips within U.S.A.Quantity: Over 20 available
Condition: New.
Language: English
Published by Technics Publications LLC, Bradley Beach 2016
- Softcover
- First Edition
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contact seller5-star sellerCondition: New
£ 51.90
Free ShippingShips within U.S.A.Quantity: 1 available
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 impo…rtant 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.
- Softcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
Contact seller5-star sellerCondition: New
£ 52.66
Free ShippingShips from United Kingdom to U.S.A.Quantity: 2 available
Paperback. Condition: New.
- Softcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
Contact seller5-star sellerCondition: New
£ 48.91
£ 4.16 shippingShips from United Kingdom to U.S.A.Quantity: 4 available
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: Used - As new
£ 40.70
£ 15.00 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Condition: As New. Unread book in perfect condition.
- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
Contact seller4-star sellerCondition: New
£ 58.43
£ 2.97 shippingShips within U.S.A.Quantity: 1 available
Condition: New. pp. 300.
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: New
£ 44.76
£ 15.00 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Condition: New.
- Softcover
Seller: Majestic Books, Hounslow, , United KingdomMajestic Books
Contact seller4-star sellerCondition: New
£ 55.27
£ 6.50 shippingShips from United Kingdom to U.S.A.Quantity: 3 available
Condition: New. pp. 300.
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
Contact seller5-star sellerCondition: New
£ 50.77
£ 11.98 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Condition: New. In.
- Softcover
Seller: Chiron Media, Wallingford, , United KingdomChiron Media
Contact seller5-star sellerCondition: New
£ 47.75
£ 15.49 shippingShips from United Kingdom to U.S.A.Quantity: 10 available
Paperback. Condition: New.
- Softcover
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
Contact seller5-star sellerCondition: New
£ 56.11
£ 9.08 shippingShips from Ireland to U.S.A.Quantity: 2 available
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. . . . .
- Softcover
Seller: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
Contact seller5-star sellerCondition: New
£ 67.40
£ 7.82 shippingShips within U.S.A.Quantity: 2 available
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.
- Softcover
Seller: GoldBooks, Denver, CO, U.S.A.GoldBooks
Contact seller5-star sellerCondition: New
£ 84.15
£ 4.10 shippingShips within U.S.A.Quantity: 1 available
Paperback. Condition: new. New Copy. Customer Service Guaranteed.
- Softcover
Seller: Gazelle Books, Lancaster, LANCA, United KingdomGazelle Books
Contact seller4-star sellerCondition: New
£ 46.49
£ 55.00 shippingShips from United Kingdom to U.S.A.Quantity: 4 available
Paperback. Condition: New. New Book, Direct from Publisher.
Language: English
Published by Technics Publications LLC, Bradley Beach 2016
- Softcover
- First Edition
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contact seller5-star sellerCondition: New
£ 85.49
£ 27.56 shippingShips from Australia to U.S.A.Quantity: 1 available
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 impo…rtant 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.
- Softcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
Contact seller5-star sellerCondition: New
£ 47.61
£ 65.00 shippingShips from United Kingdom to U.S.A.Quantity: 2 available
Paperback. Condition: New.
- Softcover
- Print on Demand
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
Contact seller5-star sellerCondition: New
£ 49.00
£ 4.16 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
- Softcover
- Print on Demand
Seller: THE SAINT BOOKSTORE, Southport, , United KingdomTHE SAINT BOOKSTORE
Contact seller5-star sellerCondition: New
£ 44.77
£ 14.97 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 422.
- Softcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
Contact seller4-star sellerCondition: New
£ 58.62
£ 8.60 shippingShips from Germany to U.S.A.Quantity: 4 available
Condition: New. PRINT ON DEMAND pp. 300.
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermanyBuchWeltWeit Ludwig Meier e.K.
Contact seller5-star sellerCondition: New
£ 49.70
£ 19.89 shippingShips from Germany to U.S.A.Quantity: 2 available
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.From Karen Lo…pez's Foreword:In this book, Thomas Frisendal raises important questions about the continued usefulness of traditional data modeling 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 modeling, enterprise data models and traditional modeling 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 modeling may or may not fit in business modeling. The main subject of this work is a proposal for a new exploration-driven modeling approach and new modeling 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 modeling data.From the author's introduction:This book proposes a new approach to data modelingone that 'turns the inside out'. For well over thirty years, relational modeling and normalization was the name of the game. One can ask that if normalization was the answer, what was the problem There is something upside-down in that approach, as we will see in this book.Data analysis (modeling) 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 visualization (again perception and cognition) rather than pure mathematical ability.Two compelling events make a paradigm shift in data modeling possible, and also necessary:The advances in applied cognitive psychology address the needs for proper contextual framework and for better communication, also in data modeling, andThe rapid intake of non-relational technologies (Big Data and NoSQL). 216 pp. Englisch.
- Softcover
- Print on Demand
Seller: moluna, Greven, , Germanymoluna
Contact seller5-star sellerCondition: New
£ 46.36
£ 42.37 shippingShips from Germany to U.S.A.Quantity: Over 20 available
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Über 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 70…s since 1995 prima.
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
Contact seller5-star sellerCondition: New
£ 49.70
£ 51.89 shippingShips from Germany to U.S.A.Quantity: 1 available
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.From Karen Lopez'…s Foreword:In this book, Thomas Frisendal raises important questions about the continued usefulness of traditional data modeling 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 modeling, enterprise data models and traditional modeling 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 modeling may or may not fit in business modeling. The main subject of this work is a proposal for a new exploration-driven modeling approach and new modeling 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 modeling data.From the author's introduction:This book proposes a new approach to data modelingone that 'turns the inside out'. For well over thirty years, relational modeling and normalization was the name of the game. One can ask that if normalization was the answer, what was the problem There is something upside-down in that approach, as we will see in this book.Data analysis (modeling) 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 visualization (again perception and cognition) rather than pure mathematical ability.Two compelling events make a paradigm shift in data modeling possible, and also necessary:The advances in applied cognitive psychology address the needs for proper contextual framework and for better communication, also in data modeling, andThe rapid intake of non-relational technologies (Big Data and NoSQL).Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 216 pp. Englisch.
- Softcover
- Print on Demand
Seller: preigu, Osnabrück, Germanypreigu
Contact seller5-star sellerCondition: New
£ 48.14
£ 60.53 shippingShips from Germany to U.S.A.Quantity: 5 available
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 | A…nbieter: preigu Print on Demand.
- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
£ 56.07
£ 53.68 shippingShips from Germany to U.S.A.Quantity: 1 available
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.From Karen Lopez's… Foreword:In this book, Thomas Frisendal raises important questions about the continued usefulness of traditional data modeling 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 modeling, enterprise data models and traditional modeling 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 modeling may or may not fit in business modeling. The main subject of this work is a proposal for a new exploration-driven modeling approach and new modeling 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 modeling data.From the author's introduction:This book proposes a new approach to data modelingone that 'turns the inside out'. For well over thirty years, relational modeling and normalization was the name of the game. One can ask that if normalization was the answer, what was the problem There is something upside-down in that approach, as we will see in this book.Data analysis (modeling) 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 visualization (again perception and cognition) rather than pure mathematical ability.Two compelling events make a paradigm shift in data modeling possible, and also necessary:The advances in applied cognitive psychology address the needs for proper contextual framework and for better communication, also in data modeling, andThe rapid intake of non-relational technologies (Big Data and NoSQL).
