Statements (68)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:lake
|
| gptkbp:bfsLayer |
4
|
| gptkbp:bfsParent |
gptkb:IBM_Watson_Data_Platform
|
| gptkbp:allows |
Data sharing
|
| gptkbp:developed_by |
gptkb:Microsoft
|
| gptkbp:enables |
Data exploration
Data ingestion |
| gptkbp:facilitates |
Data processing
|
| https://www.w3.org/2000/01/rdf-schema#label |
Microsoft Azure Data Lake
|
| gptkbp:integrates_with |
Azure services
|
| gptkbp:is_accessible_by |
Azure portal
RESTAPI |
| gptkbp:is_available_for |
gptkb:software
|
| gptkbp:is_available_in |
Multiple regions
|
| gptkbp:is_compatible_with |
gptkb:Azure_Machine_Learning
gptkb:park gptkb:technology Third-party tools |
| gptkbp:is_integrated_with |
gptkb:Azure_Data_Factory
gptkb:philosopher gptkb:Power_BI |
| gptkbp:is_optimized_for |
Cloud storage
Data storage Data lakes Analytics workloads |
| gptkbp:is_part_of |
gptkb:Microsoft_Azure
gptkb:National_Park Cloud computing services Data management solutions |
| gptkbp:is_scalable |
Petabytes of data
|
| gptkbp:is_used_by |
Enterprises
Data scientists |
| gptkbp:is_used_for |
Data warehousing
ETL processes Data storage solutions Data analytics solutions Data science projects Data lakehouse architecture |
| gptkbp:managed_by |
Azure governance tools
Azure management tools |
| gptkbp:offers |
Scalability
Data lifecycle management Cost-effective storage |
| gptkbp:provides |
Data security
Data governance Data integration Data cataloging Data processing capabilities Big Data storage Data ingestion pipelines |
| gptkbp:security_features |
Encryption
|
| gptkbp:supports |
gptkb:Company
Machine learning Real-time analytics Data analytics Data visualization Data migration Batch processing Data lineage Data replication Data transformation Multi-cloud environments Data archiving Data collaboration Data compliance Data extraction Data orchestration |
| gptkbp:uses |
Hierarchical namespace
|