The document discusses graph databases and their properties. Graph databases are structured to store graph-based data by using nodes and edges to represent entities and their relationships. They are well-suited for applications with complex relationships between entities that can be modeled as graphs, such as social networks. Key graph database technologies mentioned include Neo4j, OrientDB, and TinkerPop which provides graph traversal capabilities.
"Yahoo! JAPAN の Kubernetes-as-a-Service" で加速するアプリケーション開発驰补丑辞辞!デベロッパーネットワーク
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This document discusses automating Kubernetes deployments using Kubernetes-as-a-Service. It defines a CustomResourceDefinition for Kubernetes clusters that includes specifications for the Kubernetes version, number of master and worker nodes, and hardware flavors. It also includes an example KubernetesCluster resource definition.
The document discusses graph databases and their properties. Graph databases are structured to store graph-based data by using nodes and edges to represent entities and their relationships. They are well-suited for applications with complex relationships between entities that can be modeled as graphs, such as social networks. Key graph database technologies mentioned include Neo4j, OrientDB, and TinkerPop which provides graph traversal capabilities.
"Yahoo! JAPAN の Kubernetes-as-a-Service" で加速するアプリケーション開発驰补丑辞辞!デベロッパーネットワーク
?
This document discusses automating Kubernetes deployments using Kubernetes-as-a-Service. It defines a CustomResourceDefinition for Kubernetes clusters that includes specifications for the Kubernetes version, number of master and worker nodes, and hardware flavors. It also includes an example KubernetesCluster resource definition.