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SAP BusinessObjects Data Quality XI 3.0/3.1: Core Concepts


SAP BusinessObjects Data Quality XI 3.0/3.1: Core Concepts

Now you can study at home by your self and get certified.
These set teach you everything you need to know to become Certified.
The tests are based directly from the information from these books


BOQ300 - SAP BusinessObjects Data Quality XI 3.0/3.1: Core Concepts


BusinessObjects TM Data Quality XI 3.0/3.1 enables you to parse, cleanse, standardize, consolidate, and enhance records.
In this course, you will learn about creating, executing and troubleshooting batch jobs, using functions, scripts and transforms to change the structure and formatting of data, handling errors, cleansing address and firm data, and match and consolidate records.
As a business benefit, by being able to create efficient data quality projects, you can use the transformed data to help improve operational and supply chain efficiencies, enhance customer relationships, create new revenue opportunities, and optimize return on investment from enterprise applications.


Content:


Describing Data Services
Describe the purpose of Data Services
Describe Data Services architecture
Define Data Services objects
Use the Data Services Designer interface
Defining Source and Target Metadata
Use datastores
Use datastore and system configurations
Define file formats for flat files
Define file formats for Excel files
Define file formats for XML files
Creating Batch Jobs
Work with objects
Create a data flow
Use the Query transform
Use target tables
Execute the job
Troubleshooting Batch Jobs
Use descriptions and annotations
Validate and tracing jobs
Use View Data and the Interactive Debugger
Use auditing in data flows
Using Functions, Scripts, and Variables
Define built-in functions
Use functions in expressions
Use lookup functions
Use variables and parameters
Use Data Services scripting language
Script a custom function
Using Platform Transforms
Describe platform transforms
Use the Map Operation transform
Use the Validation transform
Use the Merge transform
Use the Case transform
Use the SQL transform
Setting up Error Handling
Set up recoverable work flows
Using Data Quality Transforms
Describe the data quality framework and processes
Describe Data Quality transforms
Using Address Cleanse
Understand the purpose of address cleansing
Prepare your input data for the Address Cleanse transforms
Define the Address Cleanse transforms
Work with global address data
Complete an Address Cleanse transform
Using Data Cleanse
Understand the purpose of data cleansing
Describe strategies for Data Cleanse transforms
Complete a Data Cleanse transform
Understand parsing dictionaries
Refine data cleansing results
Set up Universal Data Cleanse
Matching and Consolidating Data
Understand the purpose of matching and consolidating records
Use the Match Wizard to set up matching
Configure the Match transform manually using the Match Editor
Perform post-match processing
Define advanced match strategies


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