Mongo DB Atlas Data Lake

GPTKB entity

Statements (57)
Predicate Object
gptkbp:instance_of gptkb:lake
gptkbp:bfsLayer 3
gptkbp:bfsParent gptkb:Mongo_DB,_Inc.
gptkbp:allows data analysis using SQL
gptkbp:developed_by gptkb:Mongo_DB,_Inc.
gptkbp:enables real-time analytics
https://www.w3.org/2000/01/rdf-schema#label Mongo DB Atlas Data Lake
gptkbp:integrates_with gptkb:Mongo_DB_Atlas
third-party tools
gptkbp:is_accessible_by gptkb:Mongo_DB_Compass
gptkb:API
Mongo DB Shell
gptkbp:is_available_in multiple regions
gptkbp:is_compatible_with SQL databases
No SQL databases
Mongo DB database
gptkbp:is_effective_against gptkb:computer
gptkb:battle
data processing
data retrieval
gptkbp:is_found_in JSON data
Parquet data
Avro data
CSV data
gptkbp:is_optimized_for large datasets
gptkbp:is_part_of Mongo DB Atlas platform
gptkbp:is_scalable gptkb:battle
gptkbp:is_used_for gptkb:software_framework
business intelligence
data warehousing
gptkbp:managed_by gptkb:Mongo_DB_Atlas
gptkbp:offers customizable data pipelines
data lifecycle management
scalable storage solutions
real-time data ingestion
data transformation features
gptkbp:operational_area gptkb:battle
gptkbp:provides monitoring tools
data security features
data visualization capabilities
data federation capabilities
serverless data lake capabilities
gptkbp:security_features gptkb:battle
gptkbp:storage unstructured data
structured data
gptkbp:suitable_for gptkb:software
data scientists
analysts
gptkbp:supports data governance
multi-cloud environments
data replication
data archiving
data lakes on AWS
data lakes on Azure
data lakes on GCP
querying data from various sources
gptkbp:user_experience gptkb:battle