Statements (58)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:Data
|
gptkbp:built |
cloud infrastructure
|
gptkbp:can_be_combined_with |
data warehouses
|
gptkbp:can_handle |
high data velocity
|
gptkbp:deployment |
hybrid cloud
private cloud public cloud |
gptkbp:enables |
data ingestion
data sharing real-time data processing |
gptkbp:facilitates |
data processing
|
https://www.w3.org/2000/01/rdf-schema#label |
Cloud Data Lake Service
|
gptkbp:integrates_with |
cloud computing platforms
|
gptkbp:is_a_solution_for |
data management challenges
|
gptkbp:is_accessible_by |
APIs
multiple users |
gptkbp:is_associated_with |
data democratization
|
gptkbp:is_beneficial_for |
data-driven decision making
|
gptkbp:is_characterized_by |
data variety
data velocity data volume |
gptkbp:is_compliant_with |
data regulations
|
gptkbp:is_designed_for |
unstructured data
|
gptkbp:is_designed_to |
reduce data silos
|
gptkbp:is_effective_against |
for large datasets
|
gptkbp:is_essential_for |
digital transformation
|
gptkbp:is_managed_by |
data engineers
|
gptkbp:is_optimized_for |
analytics workloads
|
gptkbp:is_part_of |
cloud services ecosystem
|
gptkbp:is_scalable |
horizontally
|
gptkbp:is_used_by |
business analysts
data scientists |
gptkbp:is_used_for |
data backup
data archiving |
gptkbp:is_used_in |
data science projects
data warehousing |
gptkbp:is_utilized_for |
data enrichment
|
gptkbp:offers |
data analytics tools
data governance |
gptkbp:originated_in |
serverless architecture
|
gptkbp:provides |
gptkb:cloud_storage
data security data lineage |
gptkbp:storage |
unstructured data
structured data semi-structured data |
gptkbp:suitable_for |
Io T data
|
gptkbp:support |
multi-cloud strategies
|
gptkbp:supports |
gptkb:machine_learning
data discovery data integration data transformation data visualization big data analytics data lake architecture |
gptkbp:utilizes |
distributed architecture
|
gptkbp:bfsParent |
gptkb:Huawei_Cloud_Infrastructure
|
gptkbp:bfsLayer |
7
|