IBM InfoSphere DataStage v11.5 - Advanced Data Processing - SPVC

Unit 1 –Accessing databases
Topic 1: Connector stage overview
• Use Connector stages to read from and write to relational tables
• Working with the Connector stage properties
Topic 2: Connector stage functionality
• Before / After SQL
• Sparse lookups
• Optimize insert/update performance
Topic 3: Error handling in Connector stages
• Reject links
• Reject conditions
Topic 4: Multiple input links
• Designing jobs using Connector stages with multiple input links
• Ordering records across multiple input links
Topic 5: File Connector stage
• Read and write data to Hadoop file systems
Demonstration 1: Handling database errors
Demonstration 2: Parallel jobs with multiple Connector input links
Demonstration 3: Using the File Connector stage to read and write HDFS files

Unit 2 – Processing unstructured data
Topic 1: Using the Unstructured Data stage in DataStage jobs
• Extract data from an Excel spreadsheet
• Specify a data range for data extraction in an Unstructured Data stage
• Specify document properties for data extraction.
Demonstration 1: Processing unstructured data

Unit 3 – Data masking
Topic 1: Using the Data Masking stage in DataStage jobs
• Data masking techniques
• Data masking policies
• Applying policies for masquerading context-aware data types
• Applying policies for masquerading generic data types
• Repeatable replacement
• Using reference tables
• Creating custom reference tables
Demonstration 1: Data masking

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 rules

Unit 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 data

Unit 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