Statements (51)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
cloud computing service feature
|
| gptkbp:allows |
batch processing
interactive analytics machine learning workflows data engineering workflows parallel data processing |
| gptkbp:canBe |
library management
node size number of nodes auto-pause settings |
| gptkbp:enables |
gptkb:Apache_Spark_workloads
|
| https://www.w3.org/2000/01/rdf-schema#label |
Apache Spark pools
|
| gptkbp:integratesWith |
gptkb:Azure_Machine_Learning
gptkb:Azure_Blob_Storage gptkb:Azure_Synapse_Studio gptkb:Azure_Data_Lake_Storage |
| gptkbp:offeredBy |
gptkb:Microsoft_Azure
|
| gptkbp:partOf |
gptkb:Azure_Synapse_Analytics
|
| gptkbp:provides |
on-demand Spark clusters
|
| gptkbp:supports |
gptkb:transformation
gptkb:data_visualization gptkb:Spark_MLlib gptkb:GraphX gptkb:Spark_SQL gptkb:Apache_Spark_3.x gptkb:Synapse_pipelines gptkb:Delta_Lake gptkb:Spark_Streaming data exploration role-based access control job scheduling autoscaling integration with Power BI data lake analytics monitoring and logging custom libraries integration with Azure Active Directory integration with Azure Event Hubs integration with Azure Cosmos DB integration with Azure Key Vault integration with Azure Data Factory integration with Azure SQL Database notebook development |
| gptkbp:supportsLanguage |
gptkb:Python
gptkb:Scala gptkb:.NET SQL |
| gptkbp:usedFor |
big data analytics
distributed data processing |
| gptkbp:bfsParent |
gptkb:Microsoft_Azure_Synapse_Analytics
|
| gptkbp:bfsLayer |
6
|