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IBM InfoSphere DataStage v11.5 – Advanced Data Processing


SKU 2M423G Category


Contains: PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace. This course is designed to introduce you to advanced parallel job data processing techniques in DataStage v11.5. In this course you will develop data techniques for processing different types of complex data resources including relational data, unstructured data (Excel spreadsheets), and XML data. In addition, you will learn advanced techniques for processing data, including techniques for masking data and techniques for validating data using data rules. Finally, you will learn techniques for updating data in a star schema data warehouse using the DataStage SCD (Slowly Changing Dimensions) stage. Even if you are not working with all of these specific types of data, you will benefit from this course by learning advanced DataStage job design techniques, techniques that go beyond those utilized in the DataStage Essentials course. If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course. Terms and Conditions: Ingram Micro –; IBM –




Experienced DataStage developers seeking training in more advanced DataStage job techniques and who seek techniques for working with complex types of data resources.



Unit 4 ? Using data rules
Topic 1: Introduction to data rules
? Using the Data Rules Editor
? Selecting data rules
? Binding data rule variables
? Output link constraints
? Adding statistics and attributes to the output information
Topic 2: Use the Data Rules stage to valid foreign key references in source data
Topic 3: Create custom data rules
Demonstration 1: Using data rulesUnit 5 ? Processing XML data
Topic 1: Introduction to the Hierarchical stage
? Hierarchical stage Assembly editor
? Use the Schema Library Manager to import and manage XML schemas
Topic 2: Composing XML data
? Using the HJoin step to create parent-child relationships between input lists
? Using the Composer step
Topic 3: Writing Hierarchical data to a relational table
Topic 4: Using the Regroup step
Topic 5: Consuming XML data
? Using the XML Parser step
? Propagating columns
Topic 6: Transforming XML data
? Using the Aggregate step
? Using the Sort step
? Using the Switch step
? Using the H-Pivot step
Demonstration 1: Importing XML schemas
Demonstration 2: Compose hierarchical data
Demonstration 3: Consume hierarchical data
Demonstration 4: Transform hierarchical dataUnit 6: Updating a star schema database
Topic 1: Surrogate keys
? Design a job that creates and updates a surrogate key source key file from a dimension table
Topic 2: Slowly Changing Dimensions (SCD) stage
? Star schema databases
? SCD stage Fast Path pages
? Specifying purpose codes
? Dimension update specification
? Design a job that processes a star schema database with Type 1 and Type 2 slowly changing dimensions
Demonstration 1: Build a parallel job that updates a star schema database with two dimensions


DataStage Essentials course or equivalent.

Additional information


IBM InfoSphere


2 Days



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