Statements (58)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:park
|
| gptkbp:bfsLayer |
3
|
| gptkbp:bfsParent |
gptkb:park
|
| gptkbp:allows |
graph analytics
|
| gptkbp:can_be_used_with |
Java through Spark API
Python through Py Spark |
| gptkbp:developed_by |
gptkb:software_framework
gptkb:Skrull |
| gptkbp:has_community |
active user community
|
| gptkbp:has_feature |
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 |
gptkb:2014
|
| gptkbp:is_available_on |
gptkb:Maven_Central_Repository
gptkb:archive |
| gptkbp:is_compatible_with |
gptkb:park
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:theorem
|
| 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:theorem
|
| gptkbp:is_supported_by |
Apache Spark community
|
| gptkbp:is_used_by |
gptkb:physicist
gptkb:software data scientists data engineers |
| gptkbp:is_used_for |
data analysis
data integration data simulation data transformation data visualization data mining data reporting graph traversal data cleaning recommendation systems social network analysis data modeling data warehousing data exploration centrality measures community detection pathfinding algorithms graph-based machine learning |
| gptkbp:is_used_in |
big data applications
|
| gptkbp:language |
gptkb:Skrull
|
| 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 (RD Ds)
|