Cloud Data Quality

Are You Ready to Enhance Your Expertise in Cloud Data Quality to Ensure Optimal Data Management and Achieve Superior Business Results?

Informatica Cloud Data Quality is a comprehensive cloud-based solution that ensures data quality across various cloud platforms, applications, and databases. It provides advanced tools for profiling, cleansing, and monitoring data, helping organizations enhance data accuracy, reduce errors, and support compliance efforts.

This learning path is designed to equip you with the necessary skills and knowledge to excel in the realm of Cloud Data Quality. Through this program, you will become adept in Data Quality Management and equipped to facilitate significant improvements across your organization.

Before you start this course, it is recommended to complete the following prerequisites, which consist of three key modules:

1. Activate the Data Quality Service: Seamlessly set up and launch the DQ services for your cloud environment.
2. Setup Data Quality-Specific User Roles: Define and manage roles tailored for data quality management and data profiling.
3. Run a Simple Profile: Execute basic data profiling to assess data quality metrics.

Completing these modules will prepare you to engage with the main course material confidently.

Course Overview

This self-service learning path is structured around the key phases of implementing a robust data quality strategy. It is categorized into 7 phases, each designed to deepen your understanding and proficiency in managing data quality:

1. Plan: Establish a strategic vision that lays the groundwork for effective data quality management.
2. Prepare: Mobilize your team and compile the necessary resources to support data quality initiatives.
3. Discover: Analyze your data environment to identify current states and areas for enhancement.
4. Define: Set definitive data quality standards and metrics for assessment.
5. Apply & Measure: Implement data quality solutions and measure outcomes to ensure compliance with standards.
6. Rollout: Integrate data quality processes across business operations for sustainable governance.
7. Post-Rollout Support: Provide ongoing support and updates to maintain and improve data quality standards.

Pre-Requisites

To commence this learning path, ensure that you are equipped with or plan to implement Cloud Data Quality tools and systems.

Goal

By partaking in this learning path, you will refine your skills in Cloud Data Quality, enabling you to make data-driven decisions and foster continuous organizational improvement.

Outcome

This journey will transform you into a proficient individual in Cloud Data Quality Management, developing industry-best practices and facilitating enterprise-wide adoption.

Note: Complete all 7 phases to earn a course completion badge that will appear on your summary page.

Required Roles/Personas:

• Administrator
• Data Architect
• Developer
• Data Analyst