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D91506 - Oracle Enterprise Data Quality 12c: Profile, Audit and Operate

Overview

Duration: 2 days

This Oracle Enterprise Data Quality 12c: Profile, Audit and Operate training teaches you how to understand, check and cleanse the quality of your data with Oracle Enterprise Data Quality. Learn how to import, profile, audit, transform and export data and to create Oracle Enterprise Data Quality processes and jobs.

  • Identify data problems and check data validity.
  • Import and export data.
  • Check data quality using audit processors.
  • Create data quality processes and jobs to run in batch and real-time.
  • Reuse configuration in different processes.
  • Transform data for auditing.
  • Set up audit checks on the data and export the data.
  • Deploy strategies to re-use your work by publishing processors, creating and importing packages and making use of data interfaces and run profiles.
  • Understand Oracle Enterprise Data Quality's Server Console user interface and its Customer Data Extension Pack.

By taking this course, you'll develop the knowledge and skills that allow your business to automate data quality processes using jobs that run in batch, saving time and energy. You'll know how to configure web services to run data quality processes in real-time.

Objectives

  • Check data quality using audit processors
  • Transform data for auditing
  • Import and export data from Oracle Enterprise Data Quality
  • Automate and schedule Oracle Enterprise Data Quality processes using jobs
  • Re-use configuration with different processes and data sets
  • Describe the key features and high-level architecture of Oracle Enterprise Data Quality
  • Profile data for analysis

Content

Enterprise Data Quality Overview

  • Overview of Enterprise Data Quality and its Features
  • Overview of High-level architecture

Director User Interface and its Key Objects

  • About Process Canvas, Tool Palette, Results Browser and Project Browser
  • Saving Results to a Results Book
  • Setting up Projects, Data Stores, Snapshots and Processes

Profile

  • Using the Quickstats Profiler for a Fast Overview of Data
  • Identifying Trends with the Frequency Profiler
  • Examining Outliers with the Max / Min Profiler
  • Profiling Patterns
  • Assessing Record Completeness

Audit

  • Using Audit Processors to Check Your Data
  • Understanding Flags
  • Using Audit Processors to Branch Processes

Transform

  • Using Lookup and Return to Enrich Your Data
  • Using the Group and Merge Processor
  • Transforming Data to enable better auditing

Writing and Exporting Data

  • Using the Writer
  • Setting up an Export

Automated Processing: Jobs

  • Configuring and scheduling jobs

Re-using Your Work: Publishing, Packaging and Copying

  • Publishing processors
  • Creating and importing packages

Introduction to the Customer Data Extension Pack

  • Understanding the use of Customer Data Extension Pack
  • Installing the Customer Data Extension Pack
  • Examining a Customer Data Extension Pack Processor

Real-Time Processing Via Web Services

  • Configuring a web service within Enterprise Data Quality
  • Creating and testing a real-time process

Data Interfaces

  • Introducing Data Interfaces
  • Creating a data interface
  • Using a data interface in a process

The Server Console

  • Overview of the Server Console user interface
  • Running, Scheduling and Monitoring jobs from the Server Console user interface

Run Profiles

  • Overview of Run Profiles
  • Creating a Run Profile
  • Running a job with a Run Profile

Sampling

  • Sampling options

Introduction to Case Management

  • Overview of Case Management Functionality

Audience

  • Administrator
  • Analyst
  • Developer
  • End User
  • Implementer
  • Manage

Prerequisites

N/A

Certification

This course is not associated with any Certification.

Schedule

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