Statements (72)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:cloud_services
|
| gptkbp:developed_by |
gptkb:Microsoft
|
| https://www.w3.org/2000/01/rdf-schema#label |
Microsoft Azure HDInsight
|
| gptkbp:integrates_with |
gptkb:Azure_Data_Lake_Storage
gptkb:Azure_Machine_Learning gptkb:Azure_Synapse_Analytics gptkb:Azure_Blob_Storage gptkb:Power_BI gptkb:Azure_Functions gptkb:Azure_Logic_Apps gptkb:Azure_Dev_Ops |
| gptkbp:offers |
gptkb:Documentation
Scalability User-friendly interface Performance tuning Support services Security features Monitoring tools User management Backup and recovery options User access controls Customizable dashboards Cost management features Cluster management Interactive querying Integration with third-party tools Service level agreements Managed service |
| gptkbp:provides |
gptkb:Apache_Hive
gptkb:Apache_Kafka gptkb:Apache_Storm gptkb:Apache_Spark gptkb:Hadoop Resource management API access Training resources Data visualization tools Job scheduling Data governance tools Data profiling tools Data transformation tools Data cataloging tools Data warehousing capabilities Cluster scaling Data security features Data quality tools Data lake analytics Data ingestion tools |
| gptkbp:runs_through |
gptkb:Microsoft_Azure
|
| gptkbp:supports |
Real-time analytics
Collaboration tools Data processing Data migration Batch processing ETL processes Community contributions Multi-language support Data retention policies Data sharing Big Data analytics Data archiving Data compliance Data exploration Data lineage tracking Custom applications Data science projects Machine learning workloads |
| gptkbp:uses |
gptkb:Linux
|
| gptkbp:bfsParent |
gptkb:Apache_Hive
gptkb:Apache_Spark gptkb:Map_Reduce |
| gptkbp:bfsLayer |
4
|