Statements (59)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Apache_Spark
|
| gptkbp:allows |
graph analytics
|
| gptkbp:can_be_used_for |
graph traversal
recommendation systems social network analysis centrality measures community detection pathfinding algorithms graph-based machine learning |
| gptkbp:can_be_used_with |
Java through Spark API
Python through Py Spark |
| gptkbp:developed_by |
gptkb:Apache_Software_Foundation
gptkb:Scala |
| gptkbp:has_community |
active user community
|
| gptkbp:has_features |
graph visualization
|
| https://www.w3.org/2000/01/rdf-schema#label |
Graph X
|
| gptkbp:includes |
graph algorithms
|
| gptkbp:integrates_with |
gptkb:Spark_SQL
|
| gptkbp:introduced_in |
gptkb:2014
|
| gptkbp:is_available_on |
gptkb:Maven_Central_Repository
gptkb:Git_Hub |
| gptkbp:is_compatible_with |
gptkb:Hadoop
Scala 2.11 and 2.12 |
| gptkbp:is_documented_in |
Apache Spark documentation
|
| gptkbp:is_integrated_with |
machine learning libraries
|
| gptkbp:is_open_source |
gptkb:true
|
| gptkbp:is_optimized_for |
large-scale graph processing
|
| gptkbp:is_part_of |
Apache Spark ecosystem
data processing frameworks big data analytics tools |
| gptkbp:is_scalable |
gptkb:true
|
| gptkbp:is_supported_by |
Apache Spark community
|
| gptkbp:is_used_by |
gptkb:developers
gptkb:researchers data scientists data engineers |
| gptkbp:is_used_for |
data analysis
data integration data simulation data transformation data visualization data mining data reporting data cleaning data modeling data warehousing data exploration |
| gptkbp:is_used_in |
big data applications
|
| gptkbp:language |
gptkb:Scala
|
| gptkbp:provides |
graph processing capabilities
Graph Frames API |
| gptkbp:suitable_for |
real-time analytics
|
| gptkbp:supports |
graph-parallel computation
vertex and edge properties iterative computations |
| gptkbp:uses |
Resilient Distributed Datasets (RDDs)
|
| gptkbp:bfsParent |
gptkb:Apache_Spark
gptkb:MLlib |
| gptkbp:bfsLayer |
4
|