Statements (61)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:cloud_storage
|
gptkbp:allows |
Data lake architecture
|
gptkbp:developed_by |
gptkb:Microsoft
|
gptkbp:enables |
Data ingestion
|
https://www.w3.org/2000/01/rdf-schema#label |
Azure Data Lake Storage
|
gptkbp:integrates_with |
Azure services
|
gptkbp:is_accessible_by |
gptkb:Azure_Data_Factory
gptkb:Azure_Synapse_Analytics gptkb:Azure_Databricks REST APIs |
gptkbp:is_available_for |
Public cloud users
Hybrid cloud users Private cloud users |
gptkbp:is_available_in |
Multiple regions
|
gptkbp:is_compatible_with |
gptkb:Hadoop_ecosystem
|
gptkbp:is_compliant_with |
gptkb:ISO_9001
gptkb:HIPAA gptkb:GDPR |
gptkbp:is_documented_in |
Microsoft documentation
|
gptkbp:is_integrated_with |
gptkb:Power_BI
|
gptkbp:is_managed_by |
Azure management tools
|
gptkbp:is_optimized_for |
Data lakes
Analytics workloads |
gptkbp:is_part_of |
gptkb:Azure_cloud_platform
Azure ecosystem Azure Data Services |
gptkbp:is_promoted_by |
Microsoft marketing
|
gptkbp:is_scalable |
Petabytes of data
|
gptkbp:is_supported_by |
Community forums
|
gptkbp:is_used_by |
gptkb:developers
gptkb:Analysts Enterprises Data scientists |
gptkbp:is_used_for |
Machine learning
Data visualization Data warehousing Data transformation Data archiving Data exploration |
gptkbp:offers |
Analytics tools
Data security features Cost-effective storage |
gptkbp:provides |
Access control
Data replication Data lifecycle management Data sharing capabilities Scalable storage |
gptkbp:security |
Data breaches
|
gptkbp:storage |
Structured data
Semi-structured data Unstructured data |
gptkbp:supports |
Real-time analytics
Data governance Data versioning Big Data analytics Multiple data formats Multi-protocol access |
gptkbp:uses |
Hierarchical namespace
|
gptkbp:bfsParent |
gptkb:Microsoft_Azure
gptkb:Microsoft |
gptkbp:bfsLayer |
4
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