|
gptkbp:instance_of
|
gptkb:Java_Virtual_Machine
|
|
gptkbp:access
|
CSV files
Parquet files
ORC files
|
|
gptkbp:allows
|
cross-platform data queries
|
|
gptkbp:can_be_extended_by
|
custom connectors
|
|
gptkbp:can_be_used_with
|
gptkb:Azure_Machine_Learning
gptkb:Power_BI
|
|
gptkbp:can_handle
|
unstructured data
structured data
semi-structured data
|
|
gptkbp:can_perform
|
data transformations
|
|
gptkbp:connects
|
data lakes
No SQL databases
|
|
gptkbp:developed_by
|
gptkb:Microsoft
|
|
gptkbp:enables
|
real-time analytics
big data analytics
|
|
gptkbp:facilitates
|
data integration
|
|
gptkbp:has
|
community support
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Poly Base
|
|
gptkbp:integrates_with
|
gptkb:My_SQL
gptkb:Azure_Synapse_Analytics
|
|
gptkbp:is_compatible_with
|
gptkb:Windows_Server
gptkb:Linux
|
|
gptkbp:is_documented_in
|
Microsoft documentation
|
|
gptkbp:is_integrated_with
|
gptkb:Azure_Data_Factory
gptkb:Azure_Data_Lake_Storage
gptkb:Azure_Databricks
|
|
gptkbp:is_optimized_for
|
large datasets
cloud environments
|
|
gptkbp:is_part_of
|
gptkb:Microsoft_SQL_Server
data analytics ecosystem
data integration strategy
data lake architecture
Azure Data Services
|
|
gptkbp:is_scalable
|
petabyte-scale data
|
|
gptkbp:is_supported_by
|
gptkb:Microsoft_Azure
gptkb:Microsoft_SQL_Server_Management_Studio
|
|
gptkbp:is_used_for
|
ETL processes
|
|
gptkbp:is_used_in
|
data science projects
business intelligence applications
data warehousing solutions
|
|
gptkbp:provides
|
data federation capabilities
T-SQL interface
|
|
gptkbp:released_in
|
gptkb:2014
|
|
gptkbp:requires
|
SQL Server 2019 or later for full features
|
|
gptkbp:security
|
authentication mechanisms
|
|
gptkbp:supports
|
gptkb:Hadoop
gptkb:Azure_Blob_Storage
data compression
JSON data format
|
|
gptkbp:used_for
|
querying data from external sources
|
|
gptkbp:uses
|
data movement services
|
|
gptkbp:bfsParent
|
gptkb:My_SQL
gptkb:Microsoft_SQL_Server
|
|
gptkbp:bfsLayer
|
4
|