Azure Data Warehouse

GPTKB entity

Statements (72)
Predicate Object
gptkbp:instance_of gptkb:Data
gptkbp:can_be_used_for Predictive analytics
Data warehousing
ETL processes
gptkbp:developed_by gptkb:Microsoft
https://www.w3.org/2000/01/rdf-schema#label Azure Data Warehouse
gptkbp:integrates_with gptkb:Azure_Machine_Learning
gptkb:Power_BI
gptkbp:is_accessible_by REST APIs
ODBC/ JDBC drivers
gptkbp:is_available_for Various industries
gptkbp:is_available_in Multiple regions
Multiple pricing tiers
gptkbp:is_compatible_with gptkb:Azure_Synapse_Analytics
gptkb:Azure_Dev_Ops
Third-party tools
gptkbp:is_integrated_with gptkb:Azure_Data_Factory
gptkb:Azure_Logic_Apps
gptkbp:is_managed_by gptkb:Azure_Portal
gptkbp:is_optimized_for Massively parallel processing
Complex queries
Analytical workloads
gptkbp:is_part_of gptkb:Azure_cloud_platform
Microsoft Azure ecosystem
Azure Synapse Analytics suite
gptkbp:is_scalable Petabytes of data
gptkbp:is_used_by Enterprises
Data analysts
gptkbp:is_used_for Business intelligence
Reporting and analysis
gptkbp:offers Load balancing
Security features
Query optimization
Customizable dashboards
Cost management features
Performance tuning options
Data modeling capabilities
Data exploration tools
Data integration services
Data pipeline capabilities
gptkbp:provides Scalability
Data retention policies
Data governance tools
Role-based access control
User-defined functions
Automated scaling
Backup and restore capabilities
Data access controls
Monitoring and diagnostics
gptkbp:released gptkb:2016
gptkbp:supports Data encryption
Real-time analytics
Data replication
Data synchronization
Data quality management
Data transformation
Multi-cloud environments
Data lakes
Data visualization tools
Data import/export
Data sharing
Big Data analytics
Data archiving
Data lineage tracking
Data cataloging
Data federation
SQL-based queries
Hybrid data integration
Data extraction.
gptkbp:uses gptkb:SQL
gptkbp:bfsParent gptkb:Microsoft_Certified:_Azure_Developer_Associate
gptkbp:bfsLayer 5