GraphX
E705279
GraphX is Apache Spark’s distributed graph processing framework that enables large-scale graph computation and analysis using Spark’s resilient distributed datasets (RDDs).
All labels observed (1)
| Label | Occurrences |
|---|---|
| GraphX canonical | 1 |
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
distributed computing framework
ⓘ
graph processing framework ⓘ |
| abbreviation | RDDs ⓘ |
| allows | viewing data as both graphs and collections ⓘ |
| basedOn | Resilient Distributed Datasets NERFINISHED ⓘ |
| category |
big data analytics
ⓘ
graph analytics ⓘ |
| designedFor | cluster computing environments ⓘ |
| developedBy | Apache Software Foundation NERFINISHED ⓘ |
| ecosystem | Apache Spark ecosystem ⓘ |
| executionEngine | Apache Spark NERFINISHED ⓘ |
| integratesWith |
Spark Core
NERFINISHED
ⓘ
Spark SQL NERFINISHED ⓘ Spark Streaming NERFINISHED ⓘ |
| languageSupport |
Java
NERFINISHED
ⓘ
Python NERFINISHED ⓘ Scala NERFINISHED ⓘ |
| license | Apache License 2.0 ⓘ |
| partOf | Apache Spark NERFINISHED ⓘ |
| programmingModel | distributed graph processing ⓘ |
| provides |
graph algorithms library
ⓘ
graph operators ⓘ graph-parallel computation ⓘ optimized graph representation ⓘ property graph abstraction ⓘ |
| storageModel | RDD-based graph representation ⓘ |
| supports |
ETL for graphs
ⓘ
PageRank NERFINISHED ⓘ connected components ⓘ distributed data parallelism ⓘ edge-centric computation ⓘ fault-tolerant computation ⓘ graph joins ⓘ graph transformations ⓘ in-memory computation ⓘ interactive graph queries ⓘ iterative graph algorithms ⓘ label propagation ⓘ large-scale graph analysis ⓘ large-scale graph computation ⓘ shortest paths ⓘ triangle counting ⓘ vertex-centric computation ⓘ |
| useCase |
fraud detection
ⓘ
link analysis ⓘ network optimization ⓘ recommendation systems ⓘ social network analysis ⓘ |
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.