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Why you should use a graph database | InfoWorld

(2 day ago) Why you should use a graph database Graph databases excel for apps that explore many-to-many relationships, such as recommendation systems. Let’s look at an example


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Graph Database Use Cases and Solutions

(7 day ago) Today’s most pressing data challenges center around connections, not just discrete data. To overcome these obstacles, you need a connected data technology – a graph database. Explore below the most common use cases and solutions powered by Neo4j, the world’s leading graph database.


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Graph database - Wikipedia

(7 day ago) Graph databases hold the relationships between data as a priority. Querying relationships within a graph database is fast because they are perpetually stored within the database itself. Relationships can be intuitively visualized using graph databases, making them useful for heavily inter-connected data.


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How Do You Know If a Graph Database Solves the Problem?

(7 day ago) For this type of use case, a graph database is not recommended. Recap. Of course, no single item listed above will always appear alone. Many of these items come in tandem with others, so you may


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What Is a Graph Database? - Amazon Web Services (AWS)

(7 day ago) Graph databases are capable of sophisticated fraud prevention. With graph databases, you can use relationships to process financial and purchase transactions in near-real time. With fast graph queries, you are able to detect that, for example, a potential purchaser is using the same email address and credit card as included in a known fraud case.


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Graph processing - SQL Server and Azure SQL Database

(4 day ago) SQL Server offers graph database capabilities to model many-to-many relationships. The graph relationships are integrated into Transact-SQL and receive the benefits of using SQL Server as the foundational database management system. What is a graph database? A graph database is a collection of nodes (or vertices) and edges (or relationships).


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Graph Databases. What’s the Big Deal? - Towards Data Science

(7 day ago) The use cases for graph OLAP databases are vast. For example one can find key opinion leaders and book recommenders using PageRank algorithm. Also, conducting churn analysis to improve customer retention or even doing machine learning analysis to identify the top five factors that are driving books sales.


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What is graph database? - Definition from WhatIs.com

(3 day ago) graph database: A graph database, also called a graph-oriented database, is a type of NoSQL database that uses graph theory to store, map and query relationships.


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