Graph databases
Data modeling, query languages and the problems graphs solve better than tables.
- Relational Databases vs. Graph DatabasesA relational database stores data in fixed tables and finds relationships by joining those tables at query time.
- What Is a Graph Database?A graph database stores data as nodes (entities) and relationships (edges) rather than as rows in tables, and treats relationships as first-class data instead of something computed at query time through joins.
- Building Graph-Powered Applications with Node.js and TypeScriptA graph-powered application stores entities as nodes and relationships as first-class edges, then queries them by traversal instead of joins.
- Comparing Knowledge Graphs in RDF and Graph DatabasesA knowledge graph is the same entities-and-relationships model regardless of how you store it, but you can implement it two different ways: as RDF triples under W3C semantic web standards, or as a property graph inside a graph database.
- Cross-Domain Data in Graph DatabasesCross-domain in a graph database means storing entities from more than one subject area, such as customers, devices, and transactions, inside a single graph instead of separate systems.
- Data Modeling: How Relational, Graph, and Big-Data Systems Structure InformationData modeling is the design step that decides which entities exist, how they relate, and which rules the storage engine enforces, before any data is written.
- Explainable AI and Graph DatabasesExplainable AI needs a way to show the actual chain of reasoning behind a prediction, not just a score.
- How Fraud Detection Systems Use Graph DatabasesA graph-based fraud detection system stores accounts, transactions, devices, and cards as nodes and edges, so a relationship such as a shared device or a chain of transfers is a direct record rather than something rebuilt by joining tables.
- Geo Data Processing Using Graph DatabasesGeo data processing in a graph database means storing locations as nodes and the physical or logical connections between them (roads, pipes, sensor links, proximity) as edges, so you can query both 'where is it' and 'what is it connected to' in one traversal.
- Graph Analysis Algorithms: Centrality, Cliques, and ComponentsA graph analysis algorithm is a computation that walks a graph's nodes and edges to answer a structural question: which nodes matter most, which nodes form a tight group, or which parts of the graph can reach each other.
- Graph Analysis PlatformWe introduced Graph Analysis Algorithm and now we will go forth explaining Graph Analysis Platform.
- Graph Database Comparison and Analysis (Storage&Clustering)Big Data Era has become increasingly important for discovering the values by managing data, not simply read and wrote that.
- Graph database general use case #1 Bitnine.netMany companies around the world are using graph databases to find accurate insights.
- Graph Database Recommendation EngineRecommendation Engine performed a role that connects people to products, services, and information through analysis among their relationship, offer optimal result at the rapid time.
- History of Databases and Graph DatabaseIn the previous post, we discuss what is the graph database and what benefits it can provide.
- How to implement Project Data into Graph DBThere are approximately 260,000 cell tower sites across the US.
- Instance 1: Cypher of RubyCypher provides REST API for Geography.
- Query Languages of Existing Graph DatabasesThere may be many reasons to use DBMS, but the primary reason might be for efficiently storing and retrieving data.
- Social Relation Analysis by Graph DatabaseTwo weeks ago, we explained ‘Recommender Engine by Graph Database’, and now we will go forth explaining Social Relation Analysis by using Graph Database.
- Understanding FDS with Graph ModelingUnderstanding Graph Modeling Before understanding FDS with graph modeling, there are three primary things to go over when considering graph modeling for analytical purposes.
- Value of Graph Database #3. “Query Processing Performance”In an organizational data operation environment, you can easily see a surging volume of information and an increasing number of complicated queries on new jobs, which is likely to end up with deteriorating performance.
- IMDB Data in a Graph DatabaseOne of the advantages of graph databases is that they are very visual by nature.
- Graph Database Used in Panama PapersIn April, the Panama Papers of ICIJ(The International Consortium of Investigative Journalists) scared the whole world.