Amazon Data Pipeline

GPTKB entity

Statements (66)
Predicate Object
gptkbp:instance_of gptkb:river
gptkbp:bfsLayer 3
gptkbp:bfsParent gptkb:book
gptkbp:allows data processing
data scheduling
gptkbp:based_on usage
gptkbp:can_be streaming data
gptkbp:can_be_used_with gptkb:aircraft
gptkbp:controls large datasets
gptkbp:developed_by gptkb:server
gptkbp:enables scheduled data movement
https://www.w3.org/2000/01/rdf-schema#label Amazon Data Pipeline
gptkbp:integrates_with gptkb:Amazon_RDS
gptkb:Amazon_S3
gptkb:Amazon_EMR
gptkbp:intelligence AWSSDK
gptkbp:is Data Workflow Service
gptkbp:is_accessible_by gptkb:API
gptkbp:is_available_for public cloud
gptkbp:is_available_in gptkb:AWS_Free_Tier
multiple regions
gptkbp:is_compatible_with SQL queries
gptkbp:is_documented_in AWS documentation
gptkbp:is_effective_against gptkb:theorem
gptkbp:is_integrated_with gptkb:Amazon_Redshift
third-party services
gptkbp:is_monitored_by gptkb:Cloud_Watch
gptkbp:is_optimized_for data throughput
AWS infrastructure
gptkbp:is_part_of AWS ecosystem
data integration tools
data analytics solutions
data processing frameworks
gptkbp:is_scalable gptkb:theorem
petabyte scale
gptkbp:is_supported_by AWS support team
gptkbp:is_used_by enterprises
gptkbp:is_used_for data analysis
ETL processes
big data processing
data migration
move data between services
gptkbp:is_used_in data warehousing
gptkbp:is_used_to create data workflows
gptkbp:managed_by gptkb:AWS_Management_Console
gptkbp:offers data lineage tracking
data monitoring
gptkbp:operating_hours cron expressions
gptkbp:operational_area gptkb:theorem
gptkbp:provides data validation
error handling
job scheduling
data aggregation
workflow management
gptkbp:security_features gptkb:theorem
gptkbp:setting custom workflows
JSON templates
gptkbp:suitable_for data scientists
data engineers
gptkbp:supports data encryption
data transformation
multiple data sources
data replication
data partitioning
gptkbp:user_experience gptkb:theorem
gptkbp:uses AWS resources