IBM InfoSphere: Advanced QualityStage (V11.5) Course Overview

IBM InfoSphere: Advanced QualityStage (V11.5) Course Overview

The IBM InfoSphere Advanced QualityStage (V11.5) course is an in-depth training program designed to equip learners with the skills to perform advanced data cleansing operations using IBM InfoSphere QualityStage. This course will help learners understand the data cleansing process and how to apply it within the QualityStage environment.

Module 1 introduces the data cleansing process, setting the foundation for the subsequent modules. In Module 2, learners will explore how to modify rule sets to meet specific data quality needs. Module 3 delves into the creation of custom rule sets, empowering users to handle unique data scenarios. Module 4 focuses on standardizing data using these custom rule sets, ensuring consistency across datasets.

Module 5 guides learners through performing a reference match using standardized data and a reference data set, a crucial step for accurate data matching. Finally, Module 6 teaches advanced techniques to refine a two-source match, enhancing the precision of data deduplication and record linkage.

By completing this course, learners will gain proficiency in sophisticated data quality tasks, significantly improving the quality of data in their organizations through enhanced standardization, matching, and cleansing techniques.

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

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Course Prerequisites

To ensure that participants can successfully undertake training in the IBM InfoSphere: Advanced QualityStage (V11.5) course, the following are the minimum required prerequisites:

  • Fundamental understanding of database concepts and data structures.
  • Basic knowledge of data quality concepts and issues related to data quality.
  • Familiarity with IBM InfoSphere QualityStage or experience with other data cleansing tools is helpful.
  • Prior experience with data processing or data transformation processes.
  • Ability to navigate and use graphical user interfaces (GUIs) on a Windows platform.

It is important to note that while previous experience with IBM InfoSphere QualityStage is beneficial, it is not mandatory if the individual is willing to engage with the material and has a solid understanding of the core concepts listed above.

Target Audience for IBM InfoSphere: Advanced QualityStage (V11.5)

  1. The IBM InfoSphere: Advanced QualityStage (V11.5) course equips professionals with data cleansing and standardization skills essential for data quality tasks.

  2. Target Audience:

  • Data Analysts
  • Data Quality Specialists
  • ETL (Extract, Transform, Load) Developers
  • Data Integration Professionals
  • Business Intelligence Specialists
  • Data Governance and Data Quality Managers
  • Database Administrators who handle data cleansing tasks
  • IT Consultants specializing in data management solutions
  • Data Architects
  • Data Stewards
  • Information Quality Professionals
  • Technical Project Managers overseeing data-related projects

Learning Objectives - What you will Learn in this IBM InfoSphere: Advanced QualityStage (V11.5)?

  1. This course delves into the advanced aspects of data cleansing with IBM InfoSphere QualityStage, focusing on rule modification, custom rule creation, and sophisticated matching techniques.

  2. Learning Objectives and Outcomes:

  • Understand the comprehensive data cleansing process using IBM InfoSphere QualityStage.
  • Learn how to modify existing rule sets for data standardization and cleansing.
  • Gain the skills to create custom rule sets tailored to specific data quality needs.
  • Acquire hands-on experience in standardizing data using newly developed custom rule sets.
  • Master the process of performing reference matching with standardized data to ensure consistency.
  • Explore advanced techniques to refine the results of a two-source data matching process.
  • Enhance your ability to troubleshoot and optimize QualityStage jobs for better performance and accuracy.
  • Develop expertise in utilizing QualityStage's full potential for complex data quality challenges.
  • Improve your capability to ensure high-quality data for better business intelligence and decision-making.
  • Equip yourself with best practices for maintaining data quality within an organization using QualityStage.