Learning Neo4j 3.x : effective data modeling, performance tuning and data visualization techniques in Neo4j
(eBook)

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Published
Birmingham, UK : Packt Publishing, 2017.
Format
eBook
Edition
Second edition.
ISBN
1786460084, 1786466147, 9781786460080, 9781786466143
Physical Desc
1 online resource (1 volume) : illustrations
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Language
English

Notes

General Note
Previous edition published: 2014.
Description
Neo4j is a graph database that allows traversing huge amounts of data with ease. This book aims at quickly getting you started with the popular graph database Neo4j. Starting with a brief introduction to graph theory, this book will show you the advantages of using graph databases along with data modeling techniques for graph databases. You'll gain practical hands-on experience with commonly used and lesser known features for updating graph store with Neo4j's Cypher query language. Furthermore, you'll also learn to create awesome procedures using APOC and extend Neo4j's functionality, enabling integration, algorithmic analysis, and other advanced spatial operation capabilities on data. Through the course of the book you will come across implementation examples on the latest updates in Neo4j, such as in-graph indexes, scaling, performance improvements, visualization, data refactoring techniques, security enhancements, and much more. By the end of the book, you'll have gained the skills to design and implement modern spatial applications, from graphing data to unraveling business capabilities with the help of real-world use cases.

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Citations

APA Citation, 7th Edition (style guide)

Baton, J., & Van Bruggen, R. (2017). Learning Neo4j 3.x: effective data modeling, performance tuning and data visualization techniques in Neo4j (Second edition.). Packt Publishing.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Baton, Jérôme and Rik, Van Bruggen. 2017. Learning Neo4j 3.x: Effective Data Modeling, Performance Tuning and Data Visualization Techniques in Neo4j. Packt Publishing.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Baton, Jérôme and Rik, Van Bruggen. Learning Neo4j 3.x: Effective Data Modeling, Performance Tuning and Data Visualization Techniques in Neo4j Packt Publishing, 2017.

MLA Citation, 9th Edition (style guide)

Baton, Jérôme,, and Rik Van Bruggen. Learning Neo4j 3.x: Effective Data Modeling, Performance Tuning and Data Visualization Techniques in Neo4j Second edition., Packt Publishing, 2017.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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f5a1ec04-b430-62f5-e8b7-ffa4df9459c8-eng
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Grouped Work IDf5a1ec04-b430-62f5-e8b7-ffa4df9459c8-eng
Full titlelearning neo4j 3 x effective data modeling performance tuning and data visualization techniques in neo4j
Authorbaton jérôme
Grouping Categorybook
Last Update2024-10-04 13:10:14PM
Last Indexed2024-10-05 07:30:55AM

Marc Record

First DetectedJul 29, 2024 04:03:17 PM
Last File Modification TimeOct 04, 2024 01:23:50 PM

MARC Record

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1001 |a Baton, Jérôme,|e author.
24510|a Learning Neo4j 3.x :|b effective data modeling, performance tuning and data visualization techniques in Neo4j /|c Jérôme Baton, Rik Van Bruggen.
250 |a Second edition.
264 1|a Birmingham, UK :|b Packt Publishing,|c 2017.
300 |a 1 online resource (1 volume) :|b illustrations
336 |a text|b txt|2 rdacontent
337 |a computer|b c|2 rdamedia
338 |a online resource|b cr|2 rdacarrier
500 |a Previous edition published: 2014.
5050 |a Learning Neo4j 3.x : effective data modeling, performance tuning, and data visualization techniques in Neo4j -- Credits -- About the Authors -- Acknowledgement -- About the Reviewers -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Graph Theory and Databases -- Chapter 2: Getting Started with Neo4j -- Chapter 3: Modeling Data for Neo4j -- Chapter 4: Getting Started with Cypher -- Chapter 5: Awesome Procedures on Cypher -- APOC -- Chapter 6: Extending Cypher -- Chapter 7: Query Performance Tuning -- Chapter 8: Importing Data into Neo4j -- Chapter 9: Going Spatial -- Chapter 10: Security -- Chapter 11: Visualizations for Neo4j -- Chapter 12: Data Refactoring with Neo4j -- Chapter 13: Clustering -- Chapter 14: Use Case Example -- Recommendations -- Chapter 15: Use Case Example -- Impact Analysis and Simulation -- Appendix: Tips and Tricks -- Index.
5203 |a Neo4j is a graph database that allows traversing huge amounts of data with ease. This book aims at quickly getting you started with the popular graph database Neo4j. Starting with a brief introduction to graph theory, this book will show you the advantages of using graph databases along with data modeling techniques for graph databases. You'll gain practical hands-on experience with commonly used and lesser known features for updating graph store with Neo4j's Cypher query language. Furthermore, you'll also learn to create awesome procedures using APOC and extend Neo4j's functionality, enabling integration, algorithmic analysis, and other advanced spatial operation capabilities on data. Through the course of the book you will come across implementation examples on the latest updates in Neo4j, such as in-graph indexes, scaling, performance improvements, visualization, data refactoring techniques, security enhancements, and much more. By the end of the book, you'll have gained the skills to design and implement modern spatial applications, from graphing data to unraveling business capabilities with the help of real-world use cases.
5880 |a Online resource; title from title page (Safari, viewed November 10, 2017).
650 0|a Graphic methods|x Computer programs.|0 http://id.loc.gov/authorities/subjects/sh85056482
650 0|a Graph theory|x Data processing.|0 http://id.loc.gov/authorities/subjects/sh85056472
650 0|a Database design.|0 http://id.loc.gov/authorities/subjects/sh88004472
650 0|a Databases|x Design.
7001 |a Van Bruggen, Rik,|e author.
77608|i Print version:|a Baton, Jérôme.|t Learning Neo4j 3.x : effective data modeling, performance tuning and data visualization techniques in Neo4j.|b Second edition.|d Birmingham, England ; Mumbia, India : Packt Publishing, 2017|z 9781786466143
85640|u https://www.aclib.us/OReilly