Control-M for Big Data

GPTKB entity

Properties (50)
Predicate Object
gptkbp:instanceOf Software
gptkbp:designedFor Big_Data_environments
gptkbp:developedBy gptkb:BMC_Software
gptkbp:enables collaboration among teams
compliance reporting
data governance
data pipeline management
gptkbp:enhances operational efficiency
gptkbp:facilitates workflow orchestration
https://www.w3.org/2000/01/rdf-schema#label Control-M for Big Data
gptkbp:improves data processing speed
gptkbp:integratesWith gptkb:Google_Cloud
gptkb:AWS
Azure
gptkbp:isAttendedBy financial institutions
government agencies
retail companies
telecommunications firms
healthcare_organizations
gptkbp:isAvailableIn cloud
premises
gptkbp:isCompatibleWith Linux
Unix
Windows
gptkbp:isPartOf Control-M suite
gptkbp:isSuitableFor large datasets
gptkbp:isUsedBy enterprises
gptkbp:isUsedFor ETL_processes
gptkbp:offers automation capabilities
customizable dashboards
real-time monitoring
user-friendly interface
self-service capabilities
gptkbp:provides audit trails
data visualization tools
job scheduling
reporting tools
alerting features
API_access
gptkbp:reduces manual intervention
gptkbp:security data breaches
gptkbp:supports gptkb:Kafka
gptkb:Hadoop
Spark
data integration
multi-cloud environments
containerized applications
data lakes
batch processing
data quality management