Azure Data Lake Storage Gen2
GPTKB entity
Properties (62)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:Cloud_Computing_Service
|
| gptkbp:developedBy |
gptkb:Microsoft
|
| gptkbp:enables |
Big_Data_analytics
|
| https://www.w3.org/2000/01/rdf-schema#label |
Azure Data Lake Storage Gen2
|
| gptkbp:integratesWith |
Azure_Analytics_Services
|
| gptkbp:isAccessibleBy |
Azure CLI
Azure portal REST_API |
| gptkbp:isCompatibleWith |
gptkb:Hadoop_ecosystem
gptkb:Azure_Machine_Learning Power BI Third-party tools |
| gptkbp:isIntegratedWith |
gptkb:Azure_Data_Factory
Azure Databricks Azure Logic Apps |
| gptkbp:isManagedBy |
gptkb:Azure_Management_Portal
|
| gptkbp:isOptimizedFor |
Data lakes
Analytics workloads Data science workloads |
| gptkbp:isPartOf |
gptkb:Azure_Cloud_Platform
gptkb:Azure_Synapse_Analytics Microsoft_Azure_ecosystem Big_Data_solutions |
| gptkbp:isSuitableFor |
IoT data
Petabytes of data |
| gptkbp:isUsedBy |
Business analysts
Data scientists Data engineers |
| gptkbp:isUsedFor |
Machine learning
Data processing Data integration Data warehousing Data archiving |
| gptkbp:offers |
High availability
Data lifecycle management Versioning Security features |
| gptkbp:provides |
Data encryption
Scalability Monitoring and logging Data cataloging Data import/export capabilities Data backup solutions Data security compliance Cost-effective storage Integration_with_Azure_Active_Directory |
| gptkbp:releasedIn |
November 2018
|
| gptkbp:supports |
Real-time analytics
Data analytics Data visualization Batch processing Data governance Data retention policies Data transformation Hierarchical namespace Data lakes Data sharing Data exploration Multiple data formats Streaming data Multi-protocol access |
| gptkbp:uses |
Blob storage
|