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

To ensure that you can fully benefit from the Oracle Enterprise Data Quality 12c: Profile, Audit and Operate Ed 1 course, the following prerequisites are recommended:

• Basic understanding of data quality concepts and challenges.
• Familiarity with data management and governance principles.
• Experience with relational databases and SQL.
• General knowledge of data integration and transformation processes.
• Comfortable with using software tools for data analysis.

These prerequisites are intended to provide you with a foundation that will help you grasp the course material effectively. No prior experience with Oracle Enterprise Data Quality is required, but any experience in data profiling, auditing, or quality initiatives will be advantageous. The course is designed to be accessible to learners with a fundamental background in data-related fields, ensuring a smooth learning curve.

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

The Oracle Enterprise Data Quality 12c course equips professionals with data quality management skills.

• Data Analysts
• Data Stewards
• Database Administrators
• Business Intelligence Specialists
• Data Quality Managers
• IT Managers overseeing data governance
• Data Integration Developers
• Data Architects
• Data Governance Professionals
• ETL (Extract, Transform, Load) Developers
• Master Data Management Professionals
• Compliance Officers dealing with data quality regulations
• CRM (Customer Relationship Management) System Administrators
• ERP (Enterprise Resource Planning) Data Managers

Learning Objectives - What you will Learn in this Oracle Enterprise Data Quality 12c: Profile, Audit and Operate Ed 1?

1. Introduction: The Oracle Enterprise Data Quality 12c: Profile, Audit and Operate Ed 1 course equips students with the knowledge to manage data quality, perform audits, and operationalize data processes efficiently.

2. Learning Objectives and Outcomes:

• Understand the fundamentals of Oracle Enterprise Data Quality and its high-level architecture.
• Navigate and utilize the Director User Interface, including Process Canvas, Tool Palette, and Project Browser.
• Perform data profiling using Quickstats, Frequency, Max/Min profilers, and assess data patterns and record completeness.
• Implement data audits with Audit Processors and understand how to use flags and branch processes based on audit results.
• Apply data transformation techniques, such as Lookup and Return, to enrich data and use Group and Merge processors for data consolidation.
• Learn to write and export data effectively using the Writer setup and data export configuration.
• Configure, schedule, and manage automated processing jobs for efficient data quality operations.
• Reuse and repurpose work by publishing processors, creating packages, and copying existing setups.
• Gain an understanding of the Customer Data Extension Pack, its installation, and application within data quality processes.
• Set up and test real-time data processing using web services in Enterprise Data Quality.
• Create and utilize data interfaces for improved data interaction and integration within processes.
• Operate the Server Console to run, schedule, and monitor jobs, and manage data quality operations with Run Profiles.
• Explore different data sampling options to optimize data quality assessments.
• Get an overview of Case Management functionality to support data governance and remediation efforts.