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圖數(shù)據(jù)使用指南(影印版)

圖數(shù)據(jù)使用指南(影印版)

定 價:¥138.00

作 者: DeniseKoesslerGosnell 著
出版社: 東南大學出版社
叢編項:
標 簽: 暫缺

ISBN: 9787564195120 出版時間: 2021-07-01 包裝: 平裝
開本: 16開 頁數(shù): 397 字數(shù):  

內(nèi)容簡介

  圖形數(shù)據(jù)縮小了人類和計算機看待世界的方式之間的差距。計算機依靠靜態(tài)的數(shù)據(jù)行和列,而人們通過人際關(guān)系來導航和推理生活。這個實用指南演示了圖形數(shù)據(jù)如何將這兩種方法結(jié)合在一起。通過使用來自圖論、數(shù)據(jù)庫模式、分布式系統(tǒng)和數(shù)據(jù)分析的概念,您將到達一個獨特的交集,即圖思維。本書作者Denise Koessler Gosnell和Matthias Broecheler向數(shù)據(jù)工程師、數(shù)據(jù)科學家和數(shù)據(jù)分析師展示了如何用圖表數(shù)據(jù)庫解決復雜問題。您將探索使用圖技術(shù)構(gòu)建的模板,以及演示團隊如何在應用程序中考慮圖數(shù)據(jù)的示例。

作者簡介

  丹尼斯·K.戈斯內(nèi)爾,Denise Koessler Gosnell博士是DataStax的首席數(shù)據(jù)官。她建立了數(shù)十個與圖論、圖算法和圖數(shù)據(jù)應用相關(guān)的流程并申請了專利。

圖書目錄

Preface
1.GraphThinking
Whv Now?Putting Database Technologies in Context
1960s一1980s:Hierarchical Data
1980s——2000s:Entity..Relationship
2000s一2020s:NoSQL
2020s一?:Graph
What Is Graph Thinking
Complex Problems and Complex Systems
Complex Problems in Business
Making Technology Decisions to Solve Complex Problems
So You Have Graph Data.What's Next
Seeing the Bigger Picture
Getting Started on Your Journey with Graph Thinking
2.Evolvingfrom RelationaltoGraphThinking
Chapter Preview:Translating Relational Concepts to Graph Terminology
Relational VerSUS Graph:What's the Difference
Data for 0ur Running Example
Relational Data Modeling
Entities and Attributes
Building Up to an ERD
Concepts in Graph Data
Fundamental Elements of a Graph
Adjacency
Neighborhoods
Djstanca
Degree
The Graph Schema Language
Vertex Labels and Edge Labels
Properties
Edge Direction
Self-Referencing Edge Labels
Multiplicity of Your Graph
Full Example Graph Model
Relational Versus Graph:Decisions to Consider
Data Modeling
Understanding Graph Data
Mixing Database Design with Application Purpose
Summary
3.Getting Started:A Simple Customer
Chapter Preview:Relational Versus Graph
The Foundational Use Case for Graph Data
Whv Do Businesses Care About C
Implementing a C360 Application in a Relational System
Data Modds
Relational Implementation
Example C360 Oueries
Implementing a C360 Application in a Graph System
Data Models
Graph Implementation
Example C360 Oueries
Relational Versus Graph:How to Choose
Relational Versus Graph:Data Modeling
Relational Versus Graph:Representing Relationships
Relational Versus Graph:Query Languages
Relational Versus Graph:Main Points
Summary
Whv Not Relational
Making a Technology Choice for Your C360 Application
4.Exploring Neighborhoods in Development
Chapter Preview:Building a More Realistic Customer
Graph Data Modeling
Should This Be a Vertex or an Edge
LostYet?LetUsWalkYouThroughDirection
A Graph Has No Name:Common Mistakes in Naming
Our Full Development Graph Model
……
5.Exploring Neighborhoods in Production
6.Using Trees in Development
7.Using Trees in Prodiction
8.Finding Paths in Development
9.Finding Paths in Production
10.Recommendations in Decelopment
11.Simple Entity Resolution in Fraphs
12.Recommendations in Production
13.Epilogue
Index

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