Training

• BusinessObjects™ Data Services XI 3.0 enables you to integrate disparate data sources to deliver more timely and accurate data that end users in an organization can trust.
• In this two-day course, you will learn about creating, executing, and troubleshooting batch jobs, using functions, scripts and transforms to change the structure and formatting of data, and handling errors.
• As a business benefit, by being able to create efficient data integration 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.

• Describe the purpose of Data Services
• Describe Data Services architecture
• Define Data Services objects
• Use the Data Services Designer interface

• 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

• Work with objects
• Create a data flow
• Use the Query transform
• Use target tables
• Execute the job

• Use descriptions and annotations
• Validate and tracing jobs
• Use View Data and the Interactive Debugger
• Use auditing in data flows

• Define built-in functions
• Use functions in expressions
• Use the lookup function
• Use the decode function
• Use variables and parameters
• Use Data Services scripting language
• Script a custom function

• Describe platform transforms
• Use the Map Operation transform
• Use the Validation transform
• Use the Merge transform
• Use the Case transform
• Use the SQL transform

• Set up recoverable work flows

To be successful, learners who attend this course should have experience with the following:

• Knowledge of data warehousing and ETL concepts
• Experience with MySQL and SQL language
• Experience using functions, elementary procedural programming, and flow-of-control statements such as If-Then-Else and While Loop statements
• Data Warehouse Fundamentals: TCO Starts with the End User and Fact Tables and Dimension Tables
• Data Warehouse Architecture and Modeling: There Are No Guarantees
• Industry- and Application-Specific Issues: Think Globally, Act
  Locally
• Knowledge of data warehousing and ETL concepts