Informatica Data Quality Developer Fundamentals

Beginner's Guide

Created by: Sid Inf
Data/ETL Architect

What Will I Learn?

• Perform data profiling and root cause analysis to identify data quality issues opportunities and provide recommendations to work with business and IT for remediation.
• Work with business stakeholders to gather requirements, conduct data profiling and track metrics.
• Proactively identify, prioritize and re-mediate data quality issues.
• Work with cross-functional areas: IT, Data Architecture, Data Integration, Business Intelligence, Analytics, and business stakeholders.
• Participate as a member of key cross-functional working groups related to data quality, and the company’s Data Governance Working Group representing the data domain.
• Partners with development and business resources in all phases of Data Quality Implementation.
• Perform analysis and provide recommendations for modification or creation of business/technical rules based on data results.
• Excellent analytical ability to understand business issues associated with data management, architecture and governance, business process, in terms of data and related standards.
• Create and monitor data quality scorecards and data integrity efforts to works with data owners/stewards to resolve data quality issues.

Requirements

• Mandatory: Data Quality Fundamentals (Refer to the existing course on Udemy by Inf Sid)
• Mandatory: Informatica Data Quality Analyst - Beginner's Guide (Refer to the existing course on Udemy by Inf Sid)
• Good to know: Data Warehouse Concepts - Beginner to Advanced (Refer to the existing course on Udemy by Inf Sid)
• Good to know: Data Warehouse Concepts - Beginner to Advanced (Refer to the existing course on Udemy by Inf Sid)
• Good to know: Cloud Data Warehouse Concepts (Refer to the existing course on Udemy by Inf Sid)
• Good to know: Informatica Cloud - Data Integration (Refer to the existing course on Udemy by Inf Sid)

Target audience

• IDQ Developers
• ETL Developers
• ETL Testing/QA Professionals
• Data Analytics Professionals
• Data Warehouse Professionals
• ETL Architects
• ETL Developers