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This course is designed to introduce you to advanced parallel job data processing techniques in DataStage v11.5.

  • Course Start Date: 2021-06-07
  • Time: 09:00:00 - 17:00:00
  • Duration: 2 days 09:00 AM - 05:00 PM
  • Location: Virtual
  • Delivery Method(s): Virtual Instructor Led

Course Outline

Pre-Requisites

IBM InfoSphere DataStage Essentials (v11.5)

Lessons

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.

WHAT YOU'LL LEARN 
  • 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 

OUTLINE
1. Accessing Databases
  • Connector Stage Overview
  • Connector Stage Functionality
  • Error Handling in Connector Stages
  • Multiple Input Links
  • File Connector Stage
  • Handling Database Error
  • Parallel jobs with Multiple Connector Input Links
  • Using the File Connector Stage to Read and Write HDFS Files
2. Processing Unstructured Data
  • 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
  • Processing Unstructured Data
3. Data Masking
  • 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
  • Data Masking
4. Using Data Rules
  • 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
  • Use the Data Rules Stage to Valid Foreign Key References in Source Data
  • Create Custom Data Rules
  • Using Data Rules
5. Processing XML Data
  • Introduction to the Hierarchical Stage
  • Hierarchical Stage Assembly Editor
  • Use the Schema Library Manager to Import and Manage XML Schemas
  • Composing XML Data
  • Using the HJoin Step to Create Parent-Child Relationships between Input Lists
  • Using the Composer Step
  • Writing Hierarchical Data to a Relational Table
  • Using the Regroup Step
  • Consuming XML Data
  • Using the XML Parser Step
  • Propagating Columns
  • Transforming XML Data
  • Using the Aggregate Step
  • Using the Sort Step
  • Using the Switch Step
  • Using the H-Pivot Step
  • Importing XML Schemas
  • Compose Hierarchical Data
  • Consume Hierarchical Data
  • Transform Hierarchical Data
6. Updating a Star Schema Database
  • Surrogate Keys
  • Design a Job that Creates and Updates a Surrogate Key Source Key File from a Dimension Table
  • 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
  • Build a Parallel Job that Updates a Star Schema Database with Two Dimensions
LABS
  • VMWare-based 
  • All x86/x64 VMWare training per person

Cancellation Policy

We require 16 calendar days notice to reschedule or cancel any registration. Failure to provide the required notification will result in 100% charge of the course. If a student does not attend a scheduled course without prior notification it will result in full forfeiture of the funds and no reschedule will be allowed. Within the required notification period, only student substitutions will be permitted. Reschedules are permitted at anytime with 16 or more calendar days notice. Enrollments must be rescheduled within six months of the cancel date or funds on account will be forfeited.

Training Location

Online Classroom
your office

your city, your province
your country   

About Global Knowledge

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Global Knowledge is the world's leading learning services and professional development solutions provider. We deliver learning solutions to support customers as they adapt to key business transformations and technological advancements that drive the way that organizations around the world differentiate themselves and thrive. Our learning programs, whether designed for a global organization or an individual professional, help businesses close skills gaps and foster an environment of continuous talent development.

Training Provider Rating

This vendor has an overall average rating of 4.38 out of 5 based on 431 reviews.

I would never take another course that starts at 11AM and goes to 9PM again. The way the course was laid out really took away from ... Read more
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I would never take another course that starts at 11AM and goes to 9PM again. The way the course was laid out really took away from the capturing of what was presented as it was 5-6 hours of watching a screen before getting to the actual labs. There has to be a better way to lay out this particular course. In my previous course, the lectures were broken up by labs which worked out fantastic and kept you engaged in the course. There were days when in order to actually complete the labs, would go over the 9PM day end time frame. Was able to get the primary labs done, but if you want to get all the content completed, you cannot complete it in the window of this course, you will need to come back on your own time.

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Instructor was great
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Wasn’t as advanced as I thought it would be. There was an issue when the day my course was the first time they used a new platfo ... Read more
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Wasn’t as advanced as I thought it would be. There was an issue when the day my course was the first time they used a new platform.. from adobe to something called zoom; I had to call support line cause it stated our instructor wasn’t present. Thankfully I called cause everyone online was in the adobe virtual classroom waiting for what looked like a teacher who didn’t show up for class (IT didn’t get anything resolved until 10mins after start time). I felt like he was really getting hung up on very basic knowledge for the first half of the course (talking about how to create tabs and drag formulas as an example). I completed files a few times before he was done explaining. There was a scheduled fire drill for them (roughly 30mins)that also cut into our time, which wasn’t deducted from the hour lunch break or the two, fifteen min breaks. I also really wish he touched base more on the automating workbook functions portion which we barely did. I'm happy there were/are those study guides (learning videos) and exams to take on my own time that I hope after I've had the class are still available for me to learn from.

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