Learning Neo4j :: run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database /
This book is for developers who want an alternative way to store and process data within their applications. No previous graph database experience is required; however, some basic database knowledge will help you understand the concepts more easily.
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Weitere Verfasser: | |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham :
Packt Publishing,
[2014]
|
| Schriftenreihe: | Community experience distilled.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | This book is for developers who want an alternative way to store and process data within their applications. No previous graph database experience is required; however, some basic database knowledge will help you understand the concepts more easily. |
| Beschreibung: | Includes index. |
| Beschreibung: | 1 online resource (222 pages) : color illustrations |
| ISBN: | 9781849517171 1849517177 |
Internformat
MARC
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| 264 | 1 | |a Birmingham : |b Packt Publishing, |c [2014] | |
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| 300 | |a 1 online resource (222 pages) : |b color illustrations | ||
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| 500 | |a Includes index. | ||
| 505 | 0 | |a Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Graphs and Graph Theory -- an Introduction; Introduction to and history of graphs; Definition and usage of graph theory; Social studies; Biological studies; Computer science; Flow problems; Route problems; Web search; Test questions; Summary; Chapter 2: Graph Databases -- Overview; Background; Navigational databases; Relational databases; NoSQL databases; Key-Value stores; Column-Family stores; Document stores; Graph databases; The Property Graph model of graph databases. | |
| 505 | 8 | |a Node labelsRelationship types; Why (or why not) graph databases; Why use a graph database?; Complex queries; In-the-clickstream queries on live data; Path finding queries; Why not use a graph database, and what to use instead; Large, set-oriented queries; Graph global operations; Simple, aggregate-oriented queries; Test questions; Summary; Chapter 3: Getting Started with Neo4j; Neo4j -- key concepts and characteristics; Built for graphs, from the ground up; Transactional, ACID-compliant database; Made for Online Transaction Processing; Designed for scalability. | |
| 505 | 8 | |a A declarative query language -- CypherSweet spot use cases of Neo4j; Complex, join-intensive queries; Path finding queries; Committed to open source; The features; The support; The license conditions; Installing Neo4j; Installing Neo4j on Windows; Installing Neo4j on Mac or Linux; Using Neo4j in a cloud environment; Test Questions; Summary; Chapter 4: Modeling Data for Neo4j; The four fundamental data constructs; How to start modeling for graph databases; What we know -- ER diagrams and relational schemas; Introducing complexity through join tables. | |
| 505 | 8 | |a A graph model -- a simple, high-fidelity model of realityGraph modeling -- best practices and pitfalls; Graph modeling best practices; Design for query-ability; Align relationships with use cases; Look for n-ary relationships; Granulate nodes; Use in-graph indexes when appropriate; Graph database modeling pitfalls; Using ""rich"" properties; Node representing multiple concepts; Unconnected graphs; The dense node pattern; Test questions; Summary; Chapter 5: Importing Data into Neo4j; Alternative approaches to importing data into Neo4j; Know your import problem -- choose your tooling. | |
| 505 | 8 | |a Importing small(ish) datasetsImporting data using spreadsheets; Importing using Neo4j-shell-tools; Importing using Load CSV; Scaling the import; Questions and answers; Summary; Chapter 6: Use Case Example -- Recommendations; Recommender systems dissected; Using a graph model for recommendations; Specific query examples for recommendations; Recommendations based on product purchases; Recommendations based on brand loyalty; Recommendations based on social ties; Bringing it all together -- compound recommendations; Business variations on recommendations; Fraud detection systems. | |
| 520 | |a This book is for developers who want an alternative way to store and process data within their applications. No previous graph database experience is required; however, some basic database knowledge will help you understand the concepts more easily. | ||
| 546 | |a English. | ||
| 650 | 0 | |a Database design. |0 http://id.loc.gov/authorities/subjects/sh88004472 | |
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| 650 | 0 | |a Databases |x Programming. | |
| 650 | 6 | |a Bases de données |x Conception. | |
| 650 | 7 | |a COMPUTERS |x Databases |x General. |2 bisacsh | |
| 650 | 7 | |a Database design |2 fast | |
| 700 | 1 | |a Mohanta, Pratyush, |e cover designer. | |
| 776 | 0 | 8 | |i Print version: |n Druck-Ausgabe |t Bruggen, Rik Van. Learning Neo4j |
| 830 | 0 | |a Community experience distilled. |0 http://id.loc.gov/authorities/names/no2011030603 | |
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| contents | Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Graphs and Graph Theory -- an Introduction; Introduction to and history of graphs; Definition and usage of graph theory; Social studies; Biological studies; Computer science; Flow problems; Route problems; Web search; Test questions; Summary; Chapter 2: Graph Databases -- Overview; Background; Navigational databases; Relational databases; NoSQL databases; Key-Value stores; Column-Family stores; Document stores; Graph databases; The Property Graph model of graph databases. Node labelsRelationship types; Why (or why not) graph databases; Why use a graph database?; Complex queries; In-the-clickstream queries on live data; Path finding queries; Why not use a graph database, and what to use instead; Large, set-oriented queries; Graph global operations; Simple, aggregate-oriented queries; Test questions; Summary; Chapter 3: Getting Started with Neo4j; Neo4j -- key concepts and characteristics; Built for graphs, from the ground up; Transactional, ACID-compliant database; Made for Online Transaction Processing; Designed for scalability. A declarative query language -- CypherSweet spot use cases of Neo4j; Complex, join-intensive queries; Path finding queries; Committed to open source; The features; The support; The license conditions; Installing Neo4j; Installing Neo4j on Windows; Installing Neo4j on Mac or Linux; Using Neo4j in a cloud environment; Test Questions; Summary; Chapter 4: Modeling Data for Neo4j; The four fundamental data constructs; How to start modeling for graph databases; What we know -- ER diagrams and relational schemas; Introducing complexity through join tables. A graph model -- a simple, high-fidelity model of realityGraph modeling -- best practices and pitfalls; Graph modeling best practices; Design for query-ability; Align relationships with use cases; Look for n-ary relationships; Granulate nodes; Use in-graph indexes when appropriate; Graph database modeling pitfalls; Using ""rich"" properties; Node representing multiple concepts; Unconnected graphs; The dense node pattern; Test questions; Summary; Chapter 5: Importing Data into Neo4j; Alternative approaches to importing data into Neo4j; Know your import problem -- choose your tooling. Importing small(ish) datasetsImporting data using spreadsheets; Importing using Neo4j-shell-tools; Importing using Load CSV; Scaling the import; Questions and answers; Summary; Chapter 6: Use Case Example -- Recommendations; Recommender systems dissected; Using a graph model for recommendations; Specific query examples for recommendations; Recommendations based on product purchases; Recommendations based on brand loyalty; Recommendations based on social ties; Bringing it all together -- compound recommendations; Business variations on recommendations; Fraud detection systems. |
| ctrlnum | (OCoLC)891383723 |
| dewey-full | 005.74 |
| dewey-hundreds | 000 - Computer science, information, general works |
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| dewey-raw | 005.74 |
| dewey-search | 005.74 |
| dewey-sort | 15.74 |
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| discipline | Informatik |
| format | Electronic eBook |
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| indexdate | 2024-11-27T13:26:13Z |
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| isbn | 9781849517171 1849517177 |
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| series | Community experience distilled. |
| series2 | Community Experience Distilled |
| spelling | Bruggen, Rik van, author. Learning Neo4j : run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database / Rik Van Bruggen. Birmingham : Packt Publishing, [2014] ©2014 1 online resource (222 pages) : color illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier text file Community Experience Distilled Online resource; title from PDF title page (EBSCO, viewed November 16, 2016). Includes index. Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Graphs and Graph Theory -- an Introduction; Introduction to and history of graphs; Definition and usage of graph theory; Social studies; Biological studies; Computer science; Flow problems; Route problems; Web search; Test questions; Summary; Chapter 2: Graph Databases -- Overview; Background; Navigational databases; Relational databases; NoSQL databases; Key-Value stores; Column-Family stores; Document stores; Graph databases; The Property Graph model of graph databases. Node labelsRelationship types; Why (or why not) graph databases; Why use a graph database?; Complex queries; In-the-clickstream queries on live data; Path finding queries; Why not use a graph database, and what to use instead; Large, set-oriented queries; Graph global operations; Simple, aggregate-oriented queries; Test questions; Summary; Chapter 3: Getting Started with Neo4j; Neo4j -- key concepts and characteristics; Built for graphs, from the ground up; Transactional, ACID-compliant database; Made for Online Transaction Processing; Designed for scalability. A declarative query language -- CypherSweet spot use cases of Neo4j; Complex, join-intensive queries; Path finding queries; Committed to open source; The features; The support; The license conditions; Installing Neo4j; Installing Neo4j on Windows; Installing Neo4j on Mac or Linux; Using Neo4j in a cloud environment; Test Questions; Summary; Chapter 4: Modeling Data for Neo4j; The four fundamental data constructs; How to start modeling for graph databases; What we know -- ER diagrams and relational schemas; Introducing complexity through join tables. A graph model -- a simple, high-fidelity model of realityGraph modeling -- best practices and pitfalls; Graph modeling best practices; Design for query-ability; Align relationships with use cases; Look for n-ary relationships; Granulate nodes; Use in-graph indexes when appropriate; Graph database modeling pitfalls; Using ""rich"" properties; Node representing multiple concepts; Unconnected graphs; The dense node pattern; Test questions; Summary; Chapter 5: Importing Data into Neo4j; Alternative approaches to importing data into Neo4j; Know your import problem -- choose your tooling. Importing small(ish) datasetsImporting data using spreadsheets; Importing using Neo4j-shell-tools; Importing using Load CSV; Scaling the import; Questions and answers; Summary; Chapter 6: Use Case Example -- Recommendations; Recommender systems dissected; Using a graph model for recommendations; Specific query examples for recommendations; Recommendations based on product purchases; Recommendations based on brand loyalty; Recommendations based on social ties; Bringing it all together -- compound recommendations; Business variations on recommendations; Fraud detection systems. This book is for developers who want an alternative way to store and process data within their applications. No previous graph database experience is required; however, some basic database knowledge will help you understand the concepts more easily. English. Database design. http://id.loc.gov/authorities/subjects/sh88004472 Databases Development. Databases Programming. Bases de données Conception. COMPUTERS Databases General. bisacsh Database design fast Mohanta, Pratyush, cover designer. Print version: Druck-Ausgabe Bruggen, Rik Van. Learning Neo4j Community experience distilled. http://id.loc.gov/authorities/names/no2011030603 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=836703 Volltext |
| spellingShingle | Bruggen, Rik van Learning Neo4j : run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database / Community experience distilled. Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Graphs and Graph Theory -- an Introduction; Introduction to and history of graphs; Definition and usage of graph theory; Social studies; Biological studies; Computer science; Flow problems; Route problems; Web search; Test questions; Summary; Chapter 2: Graph Databases -- Overview; Background; Navigational databases; Relational databases; NoSQL databases; Key-Value stores; Column-Family stores; Document stores; Graph databases; The Property Graph model of graph databases. Node labelsRelationship types; Why (or why not) graph databases; Why use a graph database?; Complex queries; In-the-clickstream queries on live data; Path finding queries; Why not use a graph database, and what to use instead; Large, set-oriented queries; Graph global operations; Simple, aggregate-oriented queries; Test questions; Summary; Chapter 3: Getting Started with Neo4j; Neo4j -- key concepts and characteristics; Built for graphs, from the ground up; Transactional, ACID-compliant database; Made for Online Transaction Processing; Designed for scalability. A declarative query language -- CypherSweet spot use cases of Neo4j; Complex, join-intensive queries; Path finding queries; Committed to open source; The features; The support; The license conditions; Installing Neo4j; Installing Neo4j on Windows; Installing Neo4j on Mac or Linux; Using Neo4j in a cloud environment; Test Questions; Summary; Chapter 4: Modeling Data for Neo4j; The four fundamental data constructs; How to start modeling for graph databases; What we know -- ER diagrams and relational schemas; Introducing complexity through join tables. A graph model -- a simple, high-fidelity model of realityGraph modeling -- best practices and pitfalls; Graph modeling best practices; Design for query-ability; Align relationships with use cases; Look for n-ary relationships; Granulate nodes; Use in-graph indexes when appropriate; Graph database modeling pitfalls; Using ""rich"" properties; Node representing multiple concepts; Unconnected graphs; The dense node pattern; Test questions; Summary; Chapter 5: Importing Data into Neo4j; Alternative approaches to importing data into Neo4j; Know your import problem -- choose your tooling. Importing small(ish) datasetsImporting data using spreadsheets; Importing using Neo4j-shell-tools; Importing using Load CSV; Scaling the import; Questions and answers; Summary; Chapter 6: Use Case Example -- Recommendations; Recommender systems dissected; Using a graph model for recommendations; Specific query examples for recommendations; Recommendations based on product purchases; Recommendations based on brand loyalty; Recommendations based on social ties; Bringing it all together -- compound recommendations; Business variations on recommendations; Fraud detection systems. Database design. http://id.loc.gov/authorities/subjects/sh88004472 Databases Development. Databases Programming. Bases de données Conception. COMPUTERS Databases General. bisacsh Database design fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh88004472 |
| title | Learning Neo4j : run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database / |
| title_auth | Learning Neo4j : run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database / |
| title_exact_search | Learning Neo4j : run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database / |
| title_full | Learning Neo4j : run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database / Rik Van Bruggen. |
| title_fullStr | Learning Neo4j : run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database / Rik Van Bruggen. |
| title_full_unstemmed | Learning Neo4j : run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database / Rik Van Bruggen. |
| title_short | Learning Neo4j : |
| title_sort | learning neo4j run blazingly fast queries on complex graph datasets with the power of the neo4j graph database |
| title_sub | run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database / |
| topic | Database design. http://id.loc.gov/authorities/subjects/sh88004472 Databases Development. Databases Programming. Bases de données Conception. COMPUTERS Databases General. bisacsh Database design fast |
| topic_facet | Database design. Databases Development. Databases Programming. Bases de données Conception. COMPUTERS Databases General. Database design |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=836703 |
| work_keys_str_mv | AT bruggenrikvan learningneo4jrunblazinglyfastqueriesoncomplexgraphdatasetswiththepoweroftheneo4jgraphdatabase AT mohantapratyush learningneo4jrunblazinglyfastqueriesoncomplexgraphdatasetswiththepoweroftheneo4jgraphdatabase |