|
gptkbp:instanceOf
|
gptkb:cloud_service
|
|
gptkbp:developedBy
|
gptkb:Databricks
|
|
gptkbp:hasFeature
|
gptkb:data_visualization
collaborative editing
library management
compliance certifications
data encryption
single sign-on
data sharing
data import/export
enterprise security
role-based access control
data lineage
interactive dashboards
multi-cloud support
audit logging
cost management
serverless compute
version control integration
auto-scaling clusters
job orchestration
notebook versioning
real-time streaming
monitoring and alerting
custom compute environments
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Databricks on AWS
|
|
gptkbp:integratesWith
|
gptkb:AWS_Glue
gptkb:AWS_IAM
gptkb:AWS_Lake_Formation
gptkb:AWS_CloudWatch
gptkb:AWS_S3
gptkb:AWS_Kinesis
gptkb:AWS_Redshift
|
|
gptkbp:provides
|
gptkb:REST_API
gptkb:collaboration
gptkb:personal_computer
gptkb:Databricks_Connect
gptkb:Databricks_Data_Engineering
gptkb:Databricks_Machine_Learning
gptkb:Databricks_Marketplace
gptkb:Databricks_Model_Serving
gptkb:Databricks_Repos
gptkb:Databricks_Runtime
gptkb:Databricks_SQL
gptkb:Databricks_Workflows
gptkb:Unity_Catalog
gptkb:Databricks_Autoloader
gptkb:Databricks_Data_Science_&_Engineering
data governance
security controls
job scheduling
cluster management
data lakehouse
data pipelines
|
|
gptkbp:runsOn
|
gptkb:Amazon_Web_Services
|
|
gptkbp:supports
|
gptkb:Java
gptkb:Python
gptkb:Scala
gptkb:Apache_Spark
gptkb:SQL_Analytics
gptkb:Delta_Lake
gptkb:MLflow
R
SQL
|
|
gptkbp:usedFor
|
gptkb:machine_learning
data science
data analytics
data engineering
|
|
gptkbp:bfsParent
|
gptkb:Databricks_Runtime_11.2
|
|
gptkbp:bfsLayer
|
8
|