Oracle Enterprise Data Quality: Profile, Audit and Operate
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Description
The Oracle Enterprise Data Quality course teaches the participants to import and analyse a new set of data. Participants learn about Oracle Enterprise Data Quality's user interface and how to use its profiling tools to delve into data and quickly identify inconsistencies, missing data and other problems. They learn to audit the profiled data and also to export the data.
Participants will then focus on automating data quality processes using jobs that run in batch .They will configure web services to run data quality procceses in real-time. Participants will be introduced to Oracle Enterprise Data Quality's Server Console user interface and to its Customer Data Extension Pack.They are also ta…
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The Oracle Enterprise Data Quality course teaches the participants to import and analyse a new set of data. Participants learn about Oracle Enterprise Data Quality's user interface and how to use its profiling tools to delve into data and quickly identify inconsistencies, missing data and other problems. They learn to audit the profiled data and also to export the data.
Participants will then focus on automating data quality processes using jobs that run in batch .They will configure web services to run data quality procceses in real-time. Participants will be introduced to Oracle Enterprise Data Quality's Server Console user interface and to its Customer Data Extension Pack.They are also taught strategies to re-use their work by publishing processors, creating and importing packages and making use of Data Interfaces and Run Profiles.
This course is based on Enterprise Data Quality version 9.
Learn To:- Identify data problems and check data validity
- Import and Export data
- Create data quality processes and jobs to run in batch and real-time
- Re-use configuration in different processes
This course is based on Oracle Enterprise Data Quality version 9.0.2 .
A Live Virtual Class (LVC) is exclusively for registered students; unregistered individuals may not view an LVC at any time. Registered students must view the class from the country listed in the registration form. Unauthorized recording, copying, or transmission of LVC content may not be made.
Audience
- Data Warehouse Administrator
- Business Analysts
- Project Manager
- End Users
- Functional Implementer
- Reports Developer
- Sales Consultants
- Technical Consultant
Course Topics Enterprise Data Quality Overview
- Overview of Enterprise Data Quality and its Features
- Overview of High-level architecture
- About Process Canvas, Tool Palette, Results Browser and Project Browser
- Saving Results to a Results Book
- Setting up Projects, Data Stores, Snapshots and Processes
- 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
- Using Audit Processors to Check Your Data
- Understanding Flags
- Using Audit Processors to Branch Processes
- Using Lookup and Return to Enrich Your Data
- Using the Group and Merge Processor
- Transforming Data to enable better auditing
- Using the Writer
- Setting up an Export
- Configuring and scheduling jobs
- Publishing processors
- Creating and importing packages
- Understanding the use of Customer Data Extension Pack
- Installing the Customer Data Extension Pack
- Examining a Customer Data Extension Pack Processor
- Configuring a web service within Enterprise Data Quality
- Creating and testing a real-time process
- Introducing Data Interfaces
- Creating a data interface
- Using a data interface in a process
- Overview of the Server Console user interface
- Running, Scheduling and Monitoring jobs from the Server Console user interface
- Overview of Run Profiles
- Creating a Run Profile
- Running a job with a Run Profile
- Overview of the Dashboard
- Configuring the Dashboard
- Sampling options
- Overview of users and security
- Configuring users and security
Course Objectives
- Profile data for analysis
- 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
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