gptkbp:instance_of
|
gptkb:Java_Virtual_Machine
|
gptkbp:access
|
data from multiple sources
CSV files
remote data sources
Parquet files
ORC files
|
gptkbp:can_be_used_for
|
data migration
|
gptkbp:can_perform
|
data transformations
|
gptkbp:connects
|
gptkb:Azure_Data_Lake_Storage
gptkb:Oracle_Database
gptkb:Teradata
gptkb:Mongo_DB
|
gptkbp:developed_by
|
gptkb:Microsoft
|
gptkbp:enables
|
real-time analytics
querying external data sources
|
gptkbp:facilitates
|
data warehousing
|
https://www.w3.org/2000/01/rdf-schema#label
|
SQL Server Poly Base
|
gptkbp:integrates_with
|
gptkb:Azure_Synapse_Analytics
gptkb:Hadoop
gptkb:Azure_Blob_Storage
gptkb:Power_BI
|
gptkbp:is_available_in
|
gptkb:SQL_Server_2019
gptkb:SQL_Server_2022
|
gptkbp:is_compatible_with
|
gptkb:Windows_Server
gptkb:Azure_Data_Factory
gptkb:Linux
gptkb:SQL_Server_Management_Studio
|
gptkbp:is_enhanced_by
|
machine learning capabilities
AI capabilities
|
gptkbp:is_optimized_for
|
large datasets
|
gptkbp:is_part_of
|
gptkb:My_SQL
gptkb:Microsoft_Azure
Microsoft SQL Server ecosystem
data platform solutions
|
gptkbp:is_supported_by
|
community forums
virtual machines
Microsoft documentation
containers
|
gptkbp:is_used_by
|
data analysts
data scientists
database administrators
|
gptkbp:is_used_for
|
data analysis
ETL processes
data visualization
reporting
data exploration
|
gptkbp:is_used_in
|
business intelligence
|
gptkbp:provides
|
high performance
scalability
data integration capabilities
data federation capabilities
|
gptkbp:released_in
|
gptkb:2016
|
gptkbp:requires
|
SQL Server 2016 or later
|
gptkbp:supports
|
data governance
data lakes
JSON data format
XML data format
big data queries
distributed queries
|
gptkbp:uses
|
T-SQL
|
gptkbp:bfsParent
|
gptkb:Microsoft_SQL_Server_2014
|
gptkbp:bfsLayer
|
7
|