Informatica data quality developer Certificate Course Overview

Prerequisites for Informatica Data Quality Developer Certificate Course

To ensure a successful learning experience in the Informatica Data Quality Developer course, we recommend that participants have the following minimum knowledge and skills:

• Basic Understanding of Data Concepts: Familiarity with fundamental data management concepts, including data types, data structures, and databases.
• Experience with SQL: Basic knowledge of SQL (Structured Query Language) to query and manipulate data within databases.
• Familiarity with ETL Processes: Understanding of Extract, Transform, Load (ETL) processes and how data integration works.
• Basic Programming Knowledge: Even a foundational understanding of programming concepts (e.g., variables, loops) can be beneficial, especially if you have experience with Java.
• Analytical Skills: Ability to analyze and interpret data effectively, as well as troubleshoot data quality issues.

These prerequisites will help you get the most out of the practical and theoretical aspects of the course, enabling you to effectively apply the techniques learned in real-world scenarios. We encourage all potential learners to consider their current knowledge base and reach out with any questions about course suitability.

Target Audience for Informatica data quality developer Certificate

The Informatica Data Quality Developer Certificate course offers extensive hands-on training in data quality principles, tools, and best practices, tailored for IT professionals seeking to enhance their data management skills.

Target Audience:

• Data Quality Developers
• Data Analysts
• Business Intelligence Developers
• Data Architects
• ETL Developers
• Data Engineers
• Database Administrators
• IT Project Managers
• Quality Assurance Analysts
• Business Analysts
• Data Governance Professionals
• Technical Support Specialists
• Data Scientists
• Risk and Compliance Analysts
• Marketing Analysts
• CIOs and CTOs focusing on data strategy

Learning Objectives - What you will Learn in this Informatica data quality developer Certificate?

Introduction

The Informatica Data Quality Developer Certificate course equips students with essential skills in data quality management through a hands-on learning approach, focusing on practical applications alongside theoretical concepts. Participants will gain valuable insights into industry-standard data quality practices.

Learning Objectives and Outcomes

• Understand the fundamentals of Data Quality (DQ) and its key elements.
• Navigate the Informatica Life Cycle Management and Architecture.
• Utilize Informatica Analyst and Developer GUIs for effective data manipulation.
• Build Data Quality Mapplets and Rules for data standardization and cleansing.
• Apply various DQ transformations, including Case Converter, Parser, and Standardizer.
• Implement advanced techniques using Match/Consolidation Transformation to eliminate duplicates.
• Conduct profiling strategies using industry scenarios to assess data quality.
• Manage reference tables and develop custom profiling rules.
• Integrate Informatica Data Quality with PowerCenter for streamlined processes.
• Develop practical solutions through case studies that demonstrate optimized results in data quality initiatives.