gptkbp:instance_of
|
gptkb:river
|
gptkbp:bfsLayer
|
3
|
gptkbp:bfsParent
|
gptkb:Mongo_DB,_Inc.
|
gptkbp:allows
|
data transformation
|
gptkbp:can_be
|
real-time data
|
gptkbp:can_be_used_with
|
data lakes
|
gptkbp:connects
|
external data sources
|
gptkbp:controls
|
large datasets
|
gptkbp:developed_by
|
gptkb:Mongo_DB,_Inc.
|
gptkbp:enables
|
data aggregation
|
gptkbp:exported_to
|
data to various formats
|
https://www.w3.org/2000/01/rdf-schema#label
|
Mongo DB Atlas Data Pipeline
|
gptkbp:integrates_with
|
AWS services
Google Cloud services
Azure services
|
gptkbp:is_accessible_by
|
gptkb:API
|
gptkbp:is_available_on
|
Mongo DB Atlas platform
|
gptkbp:is_compatible_with
|
various programming languages
|
gptkbp:is_designed_for
|
cloud-native applications
|
gptkbp:is_documented_in
|
official documentation
|
gptkbp:is_effective_against
|
gptkb:battle
|
gptkbp:is_integrated_with
|
BI tools
|
gptkbp:is_optimized_for
|
cloud environments
|
gptkbp:is_part_of
|
gptkb:Database_Management_System
gptkb:Mongo_DB_Atlas
data ecosystem
|
gptkbp:is_scalable
|
gptkb:battle
enterprise level
|
gptkbp:is_supported_by
|
community resources
|
gptkbp:is_used_by
|
business analysts
data scientists
data engineers
|
gptkbp:is_used_for
|
data analysis
reporting
|
gptkbp:offers
|
customizable workflows
real-time analytics
collaboration features
visual interface
|
gptkbp:operational_area
|
gptkb:battle
|
gptkbp:provides
|
data integration
data lineage tracking
data synchronization
monitoring tools
data orchestration
|
gptkbp:security_features
|
gptkb:battle
|
gptkbp:supports
|
ETL processes
data enrichment
data migration
data validation
data cleansing
scheduled jobs
|
gptkbp:updates
|
gptkb:battle
|
gptkbp:user_experience
|
gptkb:battle
|
gptkbp:uses
|
Mongo DB Query Language
|