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

  • Tuition USD $575 GSA  $556.68
  • Reviews star_rate star_rate star_rate star_rate star_half 4762 Ratings
  • Course Code 2M423G-SPVC
  • Duration 2 days
  • Available Formats Self Paced
This course is available in other formats
Instructor-Led Classroom & Virtual
IBM InfoSphere DataStage v11.5 - Advanced Data Processing (KM423G)

This IBM Self-Paced Virtual Class (SPVC) includes:
- PDF course guide available to attendee during and after course
- Lab environment where students can work through demonstrations and exercises at their own pace

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

Skills Gained

- Use Connector stages to read from and write to database tables

- Use the File Connector stage to read from and write to Hadoop HDFS files

- Handle SQL errors in Connector stages

- Use the Unstructured Data stage to extract data from Excel spreadsheets

- Use the Big Data stage to read from and write to Hadoop HDFS files

- Use the Data Masking stage to mask sensitive data processed within a DataStage job

- Use the XML 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 database with Type 1 and Type 2 slowly changing dimensions

- Use the Surrogate Key Generator stage to generate surrogate keys

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.


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.

What does vendor-authorized training mean?

As a vendor-authorized training partner, we offer a curriculum that our partners have vetted. We use the same course materials and facilitate the same labs as our vendor-delivered training. These courses are considered the gold standard and, as such, are priced accordingly.

Is the training too basic, or will you go deep into technology?

It depends on your requirements, your role in your company, and your depth of knowledge. The good news about many of our learning paths, you can start from the fundamentals to highly specialized training.

How up-to-date are your courses and support materials?

We continuously work with our vendors to evaluate and refresh course material to reflect the latest training courses and best practices.

Are your instructors seasoned trainers who have deep knowledge of the training topic?

ExitCertified instructors have an average of 27 years of practical IT experience. They have also served as consultants for an average of 15 years. To stay up to date, instructors will at least spend 25 percent of their time learning new emerging technologies and courses.

Do you provide hands-on training and exercises in an actual lab environment?

Lab access is dependent on the vendor and the type of training you sign up for. However, many of our top vendors will provide lab access to students to test and practice. The course description will specify lab access.

Will you customize the training for our company’s specific needs and goals?

We will work with you to identify training needs and areas of growth.  We offer a variety of training methods, such as private group training, on-site of your choice, and virtually. We provide courses and certifications that are aligned with your business goals.

How do I get started with certification?

Getting started on a certification pathway depends on your goals and the vendor you choose to get certified in. Many vendors offer entry-level IT certification to advanced IT certification that can boost your career. To get access to certification vouchers and discounts, please contact Edu_customerexperience@techdata.com

Will I get access to content after I complete a course?

You will get access to the PDF of course books and guides, but access to the recording and slides will depend on the vendor and type of training you receive.

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The instructor really took his time and made sure I was able to understand the concepts.

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