Statements (61)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Database_Management_System
|
| gptkbp:bfsLayer |
3
|
| gptkbp:bfsParent |
gptkb:Mongo_DB,_Inc.
|
| gptkbp:constructed_in |
Mongo DB database technology
|
| gptkbp:developed_by |
gptkb:Mongo_DB,_Inc.
|
| gptkbp:enables |
data cataloging
data interoperability data-driven decision making cross-functional collaboration self-service data access data democratization decentralized data ownership |
| gptkbp:enhances |
data governance
|
| gptkbp:facilitates |
data sharing across teams
|
| https://www.w3.org/2000/01/rdf-schema#label |
Mongo DB Atlas Data Mesh
|
| gptkbp:integrates_with |
gptkb:Mongo_DB_Atlas
|
| gptkbp:is_accessible_by |
web interface
|
| gptkbp:is_available_on |
multiple cloud platforms
|
| gptkbp:is_compatible_with |
various data sources
data lakes and warehouses |
| gptkbp:is_designed_for |
large-scale data applications
agile data teams |
| gptkbp:is_designed_to |
streamline data workflows
reduce data silos |
| gptkbp:is_integrated_with |
business applications
machine learning tools |
| gptkbp:is_optimized_for |
cloud-native applications
high availability microservices architecture |
| gptkbp:is_part_of |
data ecosystem
data strategy initiatives Mongo DB Atlas ecosystem data architecture strategy |
| gptkbp:is_scalable |
petabyte-scale data
thousands of users |
| gptkbp:is_used_by |
data scientists
data engineers |
| gptkbp:is_used_for |
business intelligence
data exploration |
| gptkbp:offers |
collaboration tools
real-time data access |
| gptkbp:provides |
customizable dashboards
data lineage tracking data visualization tools data management capabilities data security features data access controls data quality monitoring automated data pipelines |
| gptkbp:supports |
data analytics
data integration data transformation multi-cloud environments real-time analytics data privacy compliance data lakes data warehousing data archiving data federation data orchestration |
| gptkbp:utilizes |
API-driven architecture
|