Microsoft Azure Data Lake Storage

GPTKB entity

Statements (74)
Predicate Object
gptkbp:instanceOf gptkb:Cloud_Computing_Service
gptkbp:developedBy gptkb:Microsoft
gptkbp:enables Data ingestion
gptkbp:features Access control lists (ACLs)
https://www.w3.org/2000/01/rdf-schema#label Microsoft Azure Data Lake Storage
gptkbp:integratesWith Azure services
gptkbp:isAccessibleBy REST_API
gptkbp:isAvailableIn Developers
Multiple platforms
Multiple regions
Data analysts
gptkbp:isCompatibleWith gptkb:Azure_Machine_Learning
gptkb:Apache_Hadoop
Spark
Azure Functions
Third-party tools
gptkbp:isIntegratedWith gptkb:Azure_Synapse_Analytics
gptkb:Azure_Stream_Analytics
Power BI
Azure Databricks
Azure Logic Apps
gptkbp:isOptimizedFor Data lakes
Analytics workloads
Data storage efficiency
gptkbp:isPartOf gptkb:Big_Data_ecosystem
gptkb:Microsoft_Azure
Cloud computing solutions
gptkbp:isSuitableFor Petabytes of data
gptkbp:isUsedBy Enterprises
Data scientists
Data engineers
gptkbp:isUsedFor Data integration
Data warehousing
Data archiving
Data science projects
Data lake architecture
gptkbp:offers Data lifecycle management
Data governance features
Data analytics capabilities
Data processing capabilities
Data processing frameworks
Multi-protocol access
Data import/export capabilities
Data export to various formats
Data backup solutions
Integration with Azure Data Factory
gptkbp:provides High availability
User authentication
Data retention policies
Data monitoring tools
Data access management
Data cataloging
Data security features
Scalable storage
Data access logs
Cost-effective storage
gptkbp:supports Real-time analytics
Data retrieval
Data visualization
Batch processing
Data versioning
Data quality management
Data transformation
Data sharing
Data pipelines
Data collaboration
Data compliance
Data exploration
Multiple data formats
Machine learning workloads
Data archiving solutions
Data orchestration
Big_Data_analytics
gptkbp:uses Hierarchical namespace