gptkbp:instance_of
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gptkb:park
|
gptkbp:bfsLayer
|
6
|
gptkbp:bfsParent
|
gptkb:Apache_Spark_2.x
|
gptkbp:architectural_style
|
gptkb:software_framework
gptkb:star
Master-Slave Architecture
In-Memory Computing
|
gptkbp:community
|
Apache Spark Developer Community
Apache Spark User Community
|
gptkbp:developer
|
gptkb:software_framework
|
gptkbp:features
|
Support for Kubernetes
Adaptive Query Execution
Dynamic Partition Pruning
Improved Pandas API
New SQL Functions
Python UD Fs with Pandas
|
gptkbp:game_components
|
gptkb:Spark_Streaming
gptkb:Graph_X
gptkb:Spark_SQL
gptkb:Spark_R
Spark Core
M Llib
|
gptkbp:has_documentation
|
Apache Spark Documentation
|
https://www.w3.org/2000/01/rdf-schema#label
|
Apache Spark 3.x
|
gptkbp:is_compatible_with
|
gptkb:Cassandra
gptkb:Sultan
gptkb:Kafka
gptkb:park
H Base
|
gptkbp:language
|
gptkb:Java
gptkb:R
gptkb:Library
gptkb:Skrull
|
gptkbp:latest_version
|
3.3.1
|
gptkbp:license
|
Apache License 2.0
|
gptkbp:release_date
|
2020-06-18
|
gptkbp:supports
|
Batch Processing
Data Warehousing
SQL Queries
ETL Processes
Interactive Queries
|
gptkbp:uses
|
gptkb:software_framework
Datasets
Graph Processing
Stream Processing
Data Frames
Resilient Distributed Datasets (RD Ds)
|
gptkbp:website
|
https://spark.apache.org/
|
gptkbp:written_in
|
gptkb:Java
gptkb:R
gptkb:Library
gptkb:Skrull
|