BOI300 - BusinessObjects Data Integrator XI 3.0:
Core Concepts (formerly DI320V3)
Course Description
BusinessObjects™ Data Integrator 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 three-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, handling errors, and capturing changes
in data.
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.
Course Audience
This course is designed for individuals responsible for implementing, administering, and managing
data integration projects.
Course Topics
Lesson #1: Describing Data Services
- Describe the purpose of Data Services
- Describe Data Services architecture
- Define Data Services objects
- Use the Data Services Designer interface
Lesson #2: 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
Lesson #3 Creating Batch Jobs
- Work with objects
- Create a data flow
- Use the Query transform
- Use target tables
- Execute the job
Lesson #4 Troubleshooting Batch Jobs
- Use descriptions and annotations
- Validate and tracing jobs
- Use View Data and the Interactive Debugger
- Use auditing in data flows
Lesson #5 Using Functions, Scripts, and Variables
- 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
Lesson #6 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
Lesson #7 Setting up Error Handling
- Set up recoverable work flows
Lesson #8 Capturing Changes in Data
- Update data over time
- Use source-based CDC
- Use target-based CDC
Lesson #9 Using Data Integrator Transforms
- Describe the Data Integrator transforms
- Use the Pivot transform
- Use the Hierarchy Flattening transform
- Describe performance optimization
- Use the Data Transfer transform
- Use the XML Pipeline transform
Prerequisite Education
N/A
Prerequisite Knowledge/Experience
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
- Advance Dimension Table Topics: Surrogate Keys,It's Time for Time, and Slowly Changing
Dimensions
- Industry- and Application-Specific Issues: Think Globally, Act Locally
- Data Staging and Data Quality: Dealing with Dirty Data
It is also recommended you review the following articles, which can be found at:
http://www.rkimball.com/html/articles.html .
- Data Warehouse Fundamentals: TCO Starts with the End User and Fact Tables and Dimension
Tables
- Data Warehouse Architecture and Modeling: There Are No Guarantees
- Advance Dimension Table Topics: Surrogate Keys,It's Time for Time, and Slowly Changing
Dimensions
- Industry- and Application-Specific Issues: Think Globally, Act Locally
- Data Staging and Data Quality: Dealing with Dirty Data
Additional Education
N/A
Delivery & Duration
This instructor-led core offering is a three-day course.
Applicable Certifications
N/A
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Outline Location: http://www.goldencg.com/edu/outlines/di320v3.html
