SQL Server Big Data Clusters
GPTKB entity
Statements (72)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software
|
| gptkbp:bfsLayer |
4
|
| gptkbp:bfsParent |
gptkb:Microsoft_SQL_Server
|
| gptkbp:can_be_extended_by |
custom applications
|
| gptkbp:deployment |
gptkb:Azure
On-premises |
| gptkbp:developed_by |
gptkb:Microsoft
|
| gptkbp:enables |
data analysis
|
| https://www.w3.org/2000/01/rdf-schema#label |
SQL Server Big Data Clusters
|
| gptkbp:includes |
machine learning capabilities
|
| gptkbp:integrates_with |
gptkb:Azure_Data_Lake_Storage
gptkb:Power_BI gptkb:Cloud_Computing_Service |
| gptkbp:is_accessible_by |
data analysts
data scientists data engineers |
| gptkbp:is_used_for |
ETL processes
data analytics data enrichment data migration data science projects data simulation data reporting data backup stream processing data warehousing batch processing data profiling data quality management data federation data visualization projects data experimentation |
| gptkbp:managed_by |
gptkb:SQL_Server_Management_Studio
|
| gptkbp:offers |
scalable architecture
|
| gptkbp:provides |
data analytics tools
data insights data visualization tools high availability monitoring tools security features user-friendly interface data governance features data virtualization data access controls data ingestion tools data cataloging features notebooks for data exploration |
| gptkbp:released_in |
gptkb:2019
|
| gptkbp:supports |
gptkb:Jupyter_Notebooks
gptkb:park data integration data lineage tracking data sharing data transformation data-driven decision making distributed computing real-time analytics containerized applications data retention policies data lakes data modeling data archiving data collaboration data exploration collaborative data projects data orchestration big data workloads data security compliance data visualization frameworks RESTAP Is multi-language analytics |
| gptkbp:uses |
gptkb:fortification
|