|
gptkbp:instance_of
|
gptkb:lake
|
|
gptkbp:bfsLayer
|
3
|
|
gptkbp:bfsParent
|
gptkb:Mongo_DB,_Inc.
|
|
gptkbp:allows
|
data analytics
|
|
gptkbp:constructed_in
|
Mongo DB technology
|
|
gptkbp:controls
|
large datasets
|
|
gptkbp:developed_by
|
gptkb:Mongo_DB,_Inc.
|
|
gptkbp:enables
|
data integration
|
|
gptkbp:features
|
gptkb:software
scalability
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Mongo DB Atlas Data Lakehouse
|
|
gptkbp:integrates_with
|
gptkb:Mongo_DB_Atlas
|
|
gptkbp:is_accessible_by
|
gptkb:API
gptkb:software
data analysts
data engineers
|
|
gptkbp:is_available_on
|
gptkb:2021
gptkb:AWS
gptkb:Cloud_Computing_Service
gptkb:Azure
|
|
gptkbp:is_compatible_with
|
various data formats
data lakes and warehouses
|
|
gptkbp:is_designed_for
|
real-time analytics
|
|
gptkbp:is_documented_in
|
official documentation
|
|
gptkbp:is_effective_against
|
gptkb:theorem
|
|
gptkbp:is_integrated_with
|
BI tools
|
|
gptkbp:is_optimized_for
|
cloud environments
analytics workloads
|
|
gptkbp:is_part_of
|
gptkb:Database_Management_System
data ecosystem
data architecture
Mongo DB Atlas ecosystem
|
|
gptkbp:is_promoted_by
|
Mongo DB marketing
|
|
gptkbp:is_scalable
|
growing data needs
petabyte-scale
|
|
gptkbp:is_supported_by
|
gptkb:Community_Center
Mongo DB support team
|
|
gptkbp:is_used_by
|
business analysts
data scientists
|
|
gptkbp:is_used_for
|
business intelligence
|
|
gptkbp:offers
|
data cataloging
data lineage tracking
data transformation capabilities
real-time data processing
|
|
gptkbp:provides
|
gptkb:computer
data governance
data visualization tools
data access controls
data ingestion tools
|
|
gptkbp:storage
|
unstructured data
structured data
|
|
gptkbp:suitable_for
|
startups
enterprises
|
|
gptkbp:supports
|
gptkb:software_framework
SQL queries
data sharing
data lakes
data warehousing
data exploration
multi-cloud deployments
|
|
gptkbp:user_experience
|
gptkb:theorem
|