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IBM InfoSphere DataStage v11.5 - Advanced Data Processing

  • Tuition USD $1,650 GSA  $1,284.63
  • Reviews star_rate star_rate star_rate star_rate star_half 4425 Ratings
  • Course Code KM423G
  • Duration 2 days
  • Available Formats Classroom, Virtual
KM423G - IBM InfoSphere DataStage V11.5 - Advanced Data Processing

Course Eligible for IBM Digital Badge

This course is available in other formats
Self-Paced
IBM InfoSphere DataStage v11.5 - Advanced Data Processing - SPVC (2M423G-SPVC)

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.

Skills Gained

  • Use Connector stages to read from and write to database tables
  • Handle SQL errors in Connector stages
  • Use Connector stages with multiple input links
  • Use the File Connector stage to access Hadoop HDFS data
  • Optimize jobs that write to database tables
  • Use the Unstructured Data stage to extract data from Excel spreadsheets
  • Use the Data Masking stage to mask sensitive data processed within a DataStage job
  • Use the Hierarchical stage to parse, compose, and transform XML data
  • Use the Schema Library Manager to import and manage XML schemas
  • Use the Data Rules stage to validate fields of data within a DataStage job
  • Create custom data rules for validating data
  • Design a job that processes a star schema data warehouse with Type 1 and Type 2 slowly changing dimensions

Who Can Benefit

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

Prerequisites

DataStage Essentials course or equivalent.

Course Details

Course Outline

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

 

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals, and private on sites. View our group training page for more information.

Excellent teacher. Everything was explained very well

The course content was satisfactory and using a real DataStage environment helped improve the learning experience.

Instructor was extremely knowledgeable and quick to troubleshoot and fix any student issues.

The professor was very knowledgeable, and was able to answer all of our questions to a satisfactory level.

Instructor is knowledgeable and flexible to accommodate additional topics, it was interactive. The class was presented based on real time need

3 options available

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  • Oct 7, 2021 Oct 8, 2021 (2 days) GTR
    Location
    iMVP
    Language
    English
    Time
    9:30AM 5:30PM EDT
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  • Nov 18, 2021 Nov 19, 2021 (2 days)
    Location
    iMVP
    Language
    English
    Time
    9:30AM 5:30PM EST
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    EXTRA DATES ADDED - SAVE on this course -  Promo Code: SUMMER500
  • Dec 20, 2021 Dec 21, 2021 (2 days)
    Location
    iMVP
    Language
    English
    Time
    9:30AM 5:30PM EST
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