Statements (59)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
river
|
| gptkbp:allows |
data scientists to create clusters
|
| gptkbp:can_be |
cluster provisioning
|
| gptkbp:compatibleWith |
gptkb:OpenStack
Kubernetes |
| gptkbp:deployedTo |
private clouds
public clouds Hadoop clusters Storm clusters Spark_clusters |
| gptkbp:documentedIn |
OpenStack documentation
|
| gptkbp:enables |
data analytics
|
| gptkbp:features |
data visualization
job scheduling |
| gptkbp:has_a |
users
developers |
| https://www.w3.org/2000/01/rdf-schema#label |
OpenStack Sahara
|
| gptkbp:integration |
gptkb:Cassandra
MongoDB HDFS |
| gptkbp:introduced |
2013
|
| gptkbp:is_a_time_for |
big data challenges
|
| gptkbp:is_available_in |
Apache License 2.0
|
| gptkbp:is_designed_to |
data analysts
data engineers reduce operational complexity simplify big data deployments |
| gptkbp:is_featured_in |
gptkb:OpenStack_Summit
|
| gptkbp:is_integrated_with |
data lakes
|
| gptkbp:is_known_for |
flexibility
scalability cost-effectiveness |
| gptkbp:is_part_of |
gptkb:OpenStack_Big_Data_project
gptkb:OpenStack_ecosystem OpenStack_release_cycle |
| gptkbp:is_recognized_for |
plugins
|
| gptkbp:is_supported_by |
various vendors
|
| gptkbp:is_used_in |
big data processing
cloud environments real-time data processing research institutions enterprises run machine learning workloads ETL_processes |
| gptkbp:isFacilitatedBy |
data pipelines
|
| gptkbp:maintainedBy |
gptkb:OpenStack_Foundation
|
| gptkbp:offers |
user interface
REST_API |
| gptkbp:produces |
gptkb:OpenStack_community
|
| gptkbp:provides |
monitoring tools
cluster management data processing frameworks data processing services |
| gptkbp:supports |
gptkb:Hadoop
Spark multi-tenancy multiple data sources Storm |
| gptkbp:wrote |
Python
|