Statements (64)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:cloud_storage
|
| gptkbp:can_be_used_for |
Data archiving
|
| gptkbp:enables |
Data exploration
|
| gptkbp:facilitates |
Data governance
Data sharing |
| https://www.w3.org/2000/01/rdf-schema#label |
Data Lake Storage
|
| gptkbp:integrates_with |
Data Warehouses
|
| gptkbp:is_accessible_by |
APIs
SQL queries Web interfaces Multiple users |
| gptkbp:is_available_on |
Hybrid cloud
Private cloud Public cloud |
| gptkbp:is_beneficial_for |
gptkb:developers
gptkb:Analysts Data integration Data scientists |
| gptkbp:is_compatible_with |
ETL tools
|
| gptkbp:is_effective_against |
gptkb:Yes
|
| gptkbp:is_integrated_with |
Business intelligence tools
|
| gptkbp:is_managed_by |
Data engineers
Cloud service providers |
| gptkbp:is_optimized_for |
Data retrieval
High throughput |
| gptkbp:is_part_of |
gptkb:cloud_computing
Data ecosystem Data architecture |
| gptkbp:is_scalable |
gptkb:Yes
|
| gptkbp:is_subject_to |
Compliance regulations
|
| gptkbp:is_used_by |
Data scientists
|
| gptkbp:is_used_for |
Data analysis
Data mining Data processing Data aggregation Data cleansing Data enrichment Data exploration Data profiling Data reporting |
| gptkbp:is_used_in |
Data analytics
|
| gptkbp:operational_use |
gptkb:Yes
|
| gptkbp:provides_access_to |
Raw data
|
| gptkbp:purpose |
Store large volumes of structured and unstructured data
|
| gptkbp:security |
gptkb:Yes
|
| gptkbp:storage |
gptkb:Images
Videos Text files JSON files Log files Data in various formats |
| gptkbp:support |
Real-time data processing
Stream processing Data visualization Batch processing Data transformation Data lakes Data cataloging |
| gptkbp:supports |
Machine learning
Big Data analytics |
| gptkbp:bfsParent |
gptkb:Microsoft_Azure_Synapse_Analytics
gptkb:Azure_Synapse_Analytics gptkb:Microsoft_Azure_Data_Factory |
| gptkbp:bfsLayer |
5
|