Oracle Enterprise Data Quality 12c: Profile, Audit, and Operate Ed 1

Course Description

Oracle Enterprise Data Quality 12c: Profile, Audit, and Operate Ed 1 develops practical capability in data profiling, parsing, standardization, matching, audit, and operational execution with Oracle EDQ. The course is organized around a customer-data quality program measuring defects, standardizing records, identifying duplicates, and operationalizing controls.

Learners move through four connected stages: Data Stores, Snapshots, Profiling, and Data Discovery; Parsing, Standardization, Validation, and Issue Classification; Matching, Clustering, Duplicate Review, and Survivorship; and Jobs, Audit, Monitoring, Scheduling, and Operations. Each stage links technical or business decisions to measurable evidence, risk controls, and operational ownership.

The content is independently written for SkillDynamo using the supplied source page for the verified title, update date, duration, and topic alignment. Learners finish with tested outputs, documented exceptions, troubleshooting evidence, and a prioritized improvement action.

What You Will Learn

• Explain and apply EDQ projects, data stores, connections, snapshots, readers, and staged data within Oracle Enterprise Data Quality 12c: Profile, Audit, and Operate Ed 1.
• Configure, analyze, validate, or troubleshoot frequency profiling, completeness, uniqueness, patterns, statistics, and outliers, reference data, lookup checks, business-domain exploration, and issue hypotheses, and profile results, defect inventory, critical attributes, and data-quality baseline using course-specific evidence.
• Explain and apply processors, staged workflows, attributes, flags, and result views within Oracle Enterprise Data Quality 12c: Profile, Audit, and Operate Ed 1.
• Configure, analyze, validate, or troubleshoot name, address, phone, email, and identifier parsing concepts, standardization, transformations, reference matching, and controlled correction, and validation rules, issue codes, severity, exception samples, and acceptance thresholds using course-specific evidence.
• Explain and apply match identifiers, comparisons, algorithms, weights, and threshold bands within Oracle Enterprise Data Quality 12c: Profile, Audit, and Operate Ed 1.
• Configure, analyze, validate, or troubleshoot candidate selection, clustering, one-to-many and many-to-many implications, match review, false-positive and false-negative analysis, and tuning, and master-record and survivorship principles, decision evidence, and exception governance using course-specific evidence.
• Explain and apply jobs, phases, tasks, run profiles, parameters, and environment values within Oracle Enterprise Data Quality 12c: Profile, Audit, and Operate Ed 1.
• Configure, analyze, validate, or troubleshoot batch execution, scheduling, automation interfaces, and dependency handling, run history, logs, alerts, statistics, failures, restart, and rerun controls, and quality dashboard, audit trail, ownership, support runbook, and improvement plan using course-specific evidence.

SkillDynamo Training Approach

The training follows a customer-data quality program measuring defects, standardizing records, identifying duplicates, and operationalizing controls. Activities combine course-specific demonstrations, guided implementation, hands-on exercises, scenario analysis, validation checklists, structured troubleshooting, solution review, and a final improvement plan. Learners document assumptions, settings, commands or transactions, outputs, exceptions, corrective actions, governance trade-offs, rollback needs, and operational ownership.