Oracle Cloud Infrastructure Data Quality

GPTKB entity

Statements (59)
Predicate Object
gptkbp:instance_of gptkb:Database_Management_System
gptkbp:bfsLayer 3
gptkbp:bfsParent gptkb:Database_Management_System
gptkbp:benefits data compliance audits
gptkbp:can_be_used_with data lakes
data warehouses
gptkbp:enables data stewardship
data quality monitoring
collaborative data quality management
gptkbp:enhances data-driven decision making
data accuracy
gptkbp:facilitates data governance
https://www.w3.org/2000/01/rdf-schema#label Oracle Cloud Infrastructure Data Quality
gptkbp:improves data reliability
gptkbp:integrates_with gptkb:Oracle_Cloud_Infrastructure
gptkbp:is_accessible_by web interface
gptkbp:is_available_in multiple regions
gptkbp:is_compatible_with SQL databases
data privacy regulations
No SQL databases
gptkbp:is_designed_for enterprise data management
gptkbp:is_designed_to optimize data usage
reduce data errors
gptkbp:is_integrated_with third-party tools
gptkbp:is_part_of gptkb:Oracle's_cloud_ecosystem
gptkb:Oracle_Analytics_Cloud
Oracle Cloud services
gptkbp:is_recognized_for enhancing data integrity
gptkbp:is_scalable large datasets
gptkbp:is_used_by data analysts
data scientists
business intelligence teams
gptkbp:is_used_for data migration projects
gptkbp:offers API access
training resources
user-friendly interface
data quality assessments
customizable data quality rules
data quality training programs
gptkbp:provides data lineage tracking
data validation
data cleansing
data profiling
data quality metrics
data quality dashboards
data quality reports
data quality alerts
data quality benchmarks
real-time data quality insights
gptkbp:suitable_for various industries
gptkbp:supports data transformation processes
data integration processes
data quality frameworks
automated data quality checks
data quality workflows
data quality certifications
data quality improvement initiatives
data profiling techniques
gptkbp:utilizes machine learning algorithms