SQL Server Poly Base

GPTKB entity

Statements (62)
Predicate Object
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