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* Prices Inclusive of taxes
Tell us a little about yourself:
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.
Experienced DataStage developers seeking training in more advanced DataStage job techniques and who seek techniques for working with complex types of data resources.
DataStage Essentials course or equivalent.
Unit 1 – Accessing databases
Topic 1: Connector stage overview
Topic 2: Connector stage functionality
Topic 3: Error handling in Connector stages
Topic 4: Multiple input links
Topic 5: File Connector stage
Unit 2 – Processing unstructured data
Topic 1: Using the Unstructured Data stage in DataStage jobs
Unit 3 – Data masking
Topic 1: Using the Data Masking stage in DataStage jobs
Unit 4 – Using data rules
Topic 1: Introduction to data rules
Topic 2: Use the Data Rules stage to valid foreign key references in source data
Topic 3: Create custom data rules
Unit 5 – Processing XML data
Topic 1: Introduction to the Hierarchical stage
Topic 2: Composing XML data
Topic 3: Writing Hierarchical data to a relational table
Topic 4: Using the Regroup step
Topic 5: Consuming XML data
Topic 6: Transforming XML data
Unit 6: Updating a star schema database
Topic 1: Surrogate keys
Topic 2: Slowly Changing Dimensions (SCD) stage