• Title Graph Databases and DBMSs
• Author(s) Anna Turu Pi, Ozge Koroglu
• Publisher: Université libre de Bruxelles (2017)
• Hardcover/Paperback: N/A
• eBook: PDF
• Language: English
• ISBN-10: N/A
• ISBN-13: N/A
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Book Description

Relationships in data often look far more like a web than an orderly set of rows and columns. Graph Database shine when it comes to revealing valuable insights within complex, interconnected data such as demographics, financial records, or computer networks.

The aim of this book is to compare graph databases to the main DBMSs to pinpoint the use cases it is more suitable for. In order to prove their effectiveness, a database using the same data set has been implemented both in Neo4j, the leading software using graph database technology, and SQL Server, the top-3 DBMS according to DB-Engines.

It illuminates the design and implementation of graph databases in real-world applications. You'll learn how to choose the right database solutions for your tasks, and how to use your new knowledge to build agile, flexible, and high-performing graph-powered applications!

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• Amazon
• Amazon (Neo4j - A Graph Project Story)

• Non-relational and NoSQL Databases
• Graph Theory
• Data Analysis and Data Mining, Big Data
• SQL - The Structured Query Language
• Enterprise Java (Java EE, Persistence, Web Services, Messaging, Spring, etc.)

• Graph Databases and Neo4J (Anna Turu Pi, et al)
• Definitive Guide to Graph Databases for RDBMS Developer
• Graph Databases (InfoQ)

• O'Reilly® Graph Databases: New Opportunities for Connected Data
• Graph Databases for Beginners (Bryce Merkl Sasaki, et al)
• Graph Algorithms: Practical Examples in Apache Spark and Neo4j
• O'Reilly® CouchDB: The Definitive Guide (J. Chris Anderson, et al)
• Apache Cassandra Succinctly (Marko Svaljek)