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.
リーンアナリティクスの概要を30分で理解できるようスライドを作成しています。実際に社内プレゼンでは30分で終わりました。
リーンアナリティクスの前提となるリーンスタートアップについても簡単に説明しているため、前提知識がない人でも一通り理解できると思います。
なにかご不明の点があれば、以下までご連絡ください。
info@sikmi.com
You can get an overview of LEAN ANALYTICS in 30 minutes. Actually the in-house presentation was the end in 30 minutes.
Due to the brief description of THE LEAN STARTUP that is the premise of LEAN ANALYTICS , and I think that it can be understood one way in humans there is no prerequisite knowledge .
If there is any questions something , please contact the following .
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.
リーンアナリティクスの概要を30分で理解できるようスライドを作成しています。実際に社内プレゼンでは30分で終わりました。
リーンアナリティクスの前提となるリーンスタートアップについても簡単に説明しているため、前提知識がない人でも一通り理解できると思います。
なにかご不明の点があれば、以下までご連絡ください。
info@sikmi.com
You can get an overview of LEAN ANALYTICS in 30 minutes. Actually the in-house presentation was the end in 30 minutes.
Due to the brief description of THE LEAN STARTUP that is the premise of LEAN ANALYTICS , and I think that it can be understood one way in humans there is no prerequisite knowledge .
If there is any questions something , please contact the following .