IBM InfoSphere QualityStage Essentials v11.5 Course Overview

IBM InfoSphere QualityStage Essentials v11.5 Course Overview

The IBM InfoSphere QualityStage Essentials v11.5 course is designed to equip learners with the skills needed to ensure data quality by using the IBM InfoSphere QualityStage tool. Throughout the course, participants will learn to identify common data quality issues, understand QualityStage architecture, work with QualityStage clients, and develop jobs to import metadata, standardize, match, and consolidate data.

By mastering these components, learners will be able to build and execute effective data quality solutions that can clean, standardize, and enrich data within their organization. The course covers practical applications, such as analyzing data fields, interpreting results, and improving data matching efficiency. With a focus on real-world scenarios, the training will help learners address data quality challenges and maintain high-quality data standards, which are essential for making informed business decisions. Engaging with this course will help professionals gain a competitive edge in data management and quality assurance roles.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

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  • Live Online Training (Duration : 32 Hours)
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  • Live Online Training (Duration : 32 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

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Course Prerequisites

To ensure a successful learning experience in the IBM InfoSphere QualityStage Essentials v11.5 course, participants should ideally meet the following minimum prerequisites:


  • Basic understanding of data quality concepts and issues
  • Familiarity with database principles, including the ability to write simple SQL statements
  • Basic knowledge of IBM DataStage or experience in ETL (Extract, Transform, Load) processes
  • An understanding of the data warehousing and data management concepts
  • Comfortable with navigating Windows-based applications

Please note that while these are the minimum requirements, additional experience in data analysis and integration projects may enhance your understanding and proficiency during the course.


Target Audience for IBM InfoSphere QualityStage Essentials v11.5

The IBM InfoSphere QualityStage Essentials v11.5 course equips professionals with advanced data quality management skills.


  • Data Analysts
  • Data Stewards
  • Data Quality Specialists
  • Data Integration Developers
  • ETL (Extract, Transform, Load) Developers
  • Data Warehouse Architects and Engineers
  • Business Intelligence Professionals
  • Database Administrators and Managers
  • IT Managers overseeing data governance
  • Data Scientists requiring data preparation expertise
  • Data Governance and Data Quality Consultants


Learning Objectives - What you will Learn in this IBM InfoSphere QualityStage Essentials v11.5?

Introduction to Course Learning Outcomes:

Gain proficiency in IBM InfoSphere QualityStage v11.5 to enhance data quality effectively. Learn key processes, architecture, job building, data standardization, matching, and consolidating techniques for accurate data analysis.

Learning Objectives and Outcomes:

  • Understand common data quality issues and contaminants that affect business decisions.
  • Comprehend the fundamental data quality processes for maintaining data integrity.
  • Grasp the architecture of QualityStage and the functions of its various clients.
  • Acquire skills to import metadata and construct DataStage/QualityStage jobs efficiently.
  • Develop the ability to execute jobs and critically review the outcomes for continuous improvement.
  • Master the Investigate stage by creating jobs and using investigative techniques to analyze data fields.
  • Learn to utilize the Standardize stage, identify rule sets, and interpret standardization results for data normalization.
  • Gain expertise in building QualityStage jobs to accurately identify matching records and enhance match results.
  • Understand how to apply multiple matching passes to improve data matching efficiency.
  • Learn to create a survive job in QualityStage to consolidate matched records into a single, reliable master record.

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