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.
GraphX is the blue ocean for scala engineers @ Scala Matsuri 2014鉄平 土佐
This document discusses GraphX, a component of Spark that allows for graph-parallel and data-parallel computation using a single API. It notes that GraphX provides an advantage for Scala engineers by allowing graph data to be handled similarly to Scala's collection API. While GraphX is still young, it represents a good solution for graph-parallel problems and an opportunity for Scala developers to work with graph-structured data.
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.
GraphX is the blue ocean for scala engineers @ Scala Matsuri 2014鉄平 土佐
This document discusses GraphX, a component of Spark that allows for graph-parallel and data-parallel computation using a single API. It notes that GraphX provides an advantage for Scala engineers by allowing graph data to be handled similarly to Scala's collection API. While GraphX is still young, it represents a good solution for graph-parallel problems and an opportunity for Scala developers to work with graph-structured data.
This document provides an overview of Scala-ActiveRecord, a type-safe Active Record model library for Scala. It discusses features such as being type-safe, having Rails ActiveRecord-like functionality, automatic transaction control, and support for associations and validations. The document also covers getting started, defining schemas, CRUD operations, queries, caching queries, validations, callbacks, and relationships.