|
gptkbp:instance_of
|
gptkb:advertising
|
|
gptkbp:developed_by
|
gptkb:Microsoft
|
|
gptkbp:has_feature
|
gptkb:Data_Visualization
Scalability
Data Warehousing
Performance Optimization
Cost Management
Machine Learning Integration
Security and Compliance
Data Lake Integration
Data Pipeline Management
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Azure Synapse Analytics
|
|
gptkbp:integrates_with
|
gptkb:Azure_Data_Factory
gptkb:Azure_Machine_Learning
gptkb:Power_BI
|
|
gptkbp:is_available_on
|
gptkb:Microsoft_Azure
|
|
gptkbp:is_compatible_with
|
Third-party Tools
|
|
gptkbp:is_optimized_for
|
Big Data Workloads
Analytics Workloads
Batch Processing Workloads
Data Warehousing Workloads
Real-time Analytics Workloads
|
|
gptkbp:is_part_of
|
gptkb:Azure_Synapse_Analytics_Workspace
Microsoft Azure Ecosystem
|
|
gptkbp:is_scalable
|
Petabyte-scale Data
|
|
gptkbp:is_used_by
|
Business Analysts
Data Scientists
Data Engineers
|
|
gptkbp:is_used_in
|
gptkb:Business_Intelligence
gptkb:machine_learning
gptkb:Data_Analytics
gptkb:Data_Science
|
|
gptkbp:offers
|
gptkb:Synapse_Studio
gptkb:Serverless_SQL_Pools
Integrated Workspace
Spark Pools
Dedicated SQL Pools
|
|
gptkbp:part_of
|
gptkb:Azure_Cloud_Services
|
|
gptkbp:provides
|
Big Data Analytics
Collaboration Tools
Data Integration
Data Warehousing
Monitoring Tools
Data Exploration
Data Preparation
Management Tools
Data Orchestration
|
|
gptkbp:release_date
|
November 2019
|
|
gptkbp:supports
|
gptkb:SQL
gptkb:Apache_Spark
gptkb:administration
gptkb:Data_Lake_Storage
gptkb:security
Batch Processing
Real-time Analytics
|
|
gptkbp:uses
|
gptkb:Apache_Spark_SQL
T-SQL
|
|
gptkbp:bfsParent
|
gptkb:Microsoft_Azure
gptkb:Microsoft
gptkb:Microsoft_SQL_Server
gptkb:Azure_Analysis_Services
gptkb:Azure
|
|
gptkbp:bfsLayer
|
4
|