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HomeTech
HomeTech
Aug 12, 2022 · Artificial Intelligence

Construction and Application of an Automotive Knowledge Graph for Recommendation Systems

This article presents a comprehensive overview of building an automotive domain knowledge graph—from ontology design, data acquisition, and graph schema construction using JanusGraph, to its practical use in cold‑start, explanation, and ranking stages of recommendation systems—highlighting challenges, solutions, and performance benefits.

AIAutomotiveJanusGraph
0 likes · 24 min read
Construction and Application of an Automotive Knowledge Graph for Recommendation Systems
ByteDance Data Platform
ByteDance Data Platform
Jun 8, 2022 · Backend Development

How ByteDance Optimized Data Catalog Performance with Apache Atlas and JanusGraph

This article details ByteDance's 2021 overhaul of its Data Catalog system, the performance regressions encountered after switching to Apache Atlas, and the step‑by‑step backend optimizations—including JanusGraph tuning, Gremlin query refactoring, parallel processing, and write‑path improvements—that reduced latency from minutes to seconds.

Apache AtlasJanusGraphbackend
0 likes · 12 min read
How ByteDance Optimized Data Catalog Performance with Apache Atlas and JanusGraph
DataFunTalk
DataFunTalk
Oct 9, 2021 · Databases

Building and Optimizing a Large‑Scale Graph Platform for Financial Risk Control at Du Xiaoman Financial

This article describes how Du Xiaoman Financial designed, built, and continuously optimized a massive graph platform—including data governance, graph learning, query performance, data import, and online deployment—to improve credit risk assessment using billions of nodes and edges, and shares practical lessons on graph databases, distributed training, and real‑time inference.

DGLJanusGraphLarge Scale
0 likes · 19 min read
Building and Optimizing a Large‑Scale Graph Platform for Financial Risk Control at Du Xiaoman Financial
Ctrip Technology
Ctrip Technology
Sep 9, 2021 · Big Data

Building Data Lineage at Ctrip: Architecture, Implementation, and Real‑World Applications

This article describes how Ctrip built a data lineage system for its big data platform, covering the concept of data lineage, collection methods, open‑source tools such as Apache Atlas and DataHub, the in‑house table‑level and field‑level solutions, implementation details for Hive, Spark and Presto, storage in JanusGraph, and practical applications in data governance, metadata management, scheduling and sensitivity labeling.

Big DataHiveJanusGraph
0 likes · 16 min read
Building Data Lineage at Ctrip: Architecture, Implementation, and Real‑World Applications
58 Tech
58 Tech
Nov 25, 2020 · Databases

Design and Implementation of a Financial Fraud Detection Graph Network Using JanusGraph

This article presents a comprehensive overview of building a financial fraud detection graph network, covering background challenges, graph schema design, a four‑layer architecture with JanusGraph, data import pipelines, quality assurance, performance optimizations, and practical applications such as risk scoring, association analysis, and id‑mapping.

Big DataJanusGraphdata pipeline
0 likes · 22 min read
Design and Implementation of a Financial Fraud Detection Graph Network Using JanusGraph
Architects Research Society
Architects Research Society
Aug 17, 2020 · Databases

Interview with JanusGraph PMC Members on Graph Database Landscape, Neo4j Comparison, and Deployment Best Practices

In this interview, JanusGraph PMC members Florian Hockmann and Jason Plurad discuss the project's origins, compare JanusGraph with Neo4j, share advice for production deployments, outline future expectations for JanusGraph and TinkerPop, and provide practical tips for graph modeling and community contribution.

CassandraElasticsearchGremlin
0 likes · 16 min read
Interview with JanusGraph PMC Members on Graph Database Landscape, Neo4j Comparison, and Deployment Best Practices
DataFunTalk
DataFunTalk
Jun 29, 2020 · Databases

Distributed Graph Database Practice at Beike: From JanusGraph to Dgraph

This article presents Beike's experience building a large‑scale graph database platform, covering the need for graph databases, technology selection between JanusGraph and Dgraph, detailed architecture, data ingestion pipelines, query interfaces, performance benchmarks, and future roadmap.

Data ingestionDgraphJanusGraph
0 likes · 24 min read
Distributed Graph Database Practice at Beike: From JanusGraph to Dgraph
Architecture Digest
Architecture Digest
May 9, 2020 · Databases

Understanding Graph Databases: Concepts, Comparisons, and Query Language

This article introduces graph databases, explains their underlying graph model, compares them with NoSQL and relational databases, reviews popular implementations such as Neo4j and JanusGraph, and demonstrates querying with the Cypher language, highlighting their advantages for complex relationship queries in modern data‑intensive applications.

CypherJanusGraphNeo4j
0 likes · 10 min read
Understanding Graph Databases: Concepts, Comparisons, and Query Language
58 Tech
58 Tech
Aug 16, 2019 · Databases

Introduction to Knowledge Graphs and JanusGraph: Architecture, Schema Design, and Traversal

This article explains the rapid development of knowledge graphs, why graph databases like JanusGraph are preferred over relational databases for large‑scale semantic networks, and provides a step‑by‑step guide covering JanusGraph architecture, schema creation, Gremlin traversal language, server deployment, data import, and query examples.

GremlinJanusGraphKnowledge Graph
0 likes · 15 min read
Introduction to Knowledge Graphs and JanusGraph: Architecture, Schema Design, and Traversal