Statements (74)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:museum
|
| gptkbp:bfsLayer |
3
|
| gptkbp:bfsParent |
gptkb:Mongo_DB,_Inc.
|
| gptkbp:allows |
data classification
|
| gptkbp:developed_by |
gptkb:Mongo_DB,_Inc.
data professionals |
| gptkbp:enables |
data integration
data-driven decision making self-service analytics data lineage data transparency data collaboration data compliance data exploration |
| gptkbp:enhances |
data security
|
| gptkbp:facilitates |
gptkb:collaboration
data sharing data transformation data accessibility |
| https://www.w3.org/2000/01/rdf-schema#label |
Mongo DB Atlas Data Catalog
|
| gptkbp:integrates_with |
gptkb:Mongo_DB_Atlas
|
| gptkbp:is_accessible_by |
web interface
non-technical users |
| gptkbp:is_available_for |
various industries
|
| gptkbp:is_available_in |
multiple regions
|
| gptkbp:is_available_on |
cloud platforms
|
| gptkbp:is_compatible_with |
third-party tools
data lakes data analytics platforms |
| gptkbp:is_designed_for |
enterprise use
|
| gptkbp:is_integrated_with |
data governance tools
machine learning tools data warehousing solutions |
| gptkbp:is_optimized_for |
big data
cloud environments |
| gptkbp:is_part_of |
gptkb:Database_Management_System
data ecosystem data governance framework |
| gptkbp:is_scalable |
cloud-native architecture
|
| gptkbp:is_used_by |
data analysts
data scientists business intelligence teams |
| gptkbp:is_used_for |
metadata management
data management data strategy development |
| gptkbp:is_used_in |
data-driven organizations
|
| gptkbp:offers |
API access
customizable dashboards metadata management user-friendly interface |
| gptkbp:part_of |
gptkb:Mongo_DB_Atlas
|
| gptkbp:provides |
audit logs
data enrichment data governance data insights data visualization tools real-time data updates search capabilities data access controls data profiling tools data quality metrics data catalog features |
| gptkbp:supports |
compliance requirements
data analytics data discovery data privacy regulations multi-cloud environments data governance policies data governance initiatives data pipelines data stewardship data literacy programs data governance best practices data cataloging standards |