Comprehensive Testing and Profiling Techniques
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Ensuring Data Quality
A 3-part webinar series focused on ensuring data quality through comprehensive testing and profiling techniques.
3 Sessions I 30 minutes each
These sessions will provide you with essential methods and principles to maintain high data quality. Whether you're a Data Analyst, Quality Assurance Professional, or an IT Specialist, these sessions are designed to enhance your skills and knowledge in data quality management.
Gain practical insights into manual and automated data testing and profiling techniques. Learn from industry experts and enhance your data quality management skills. Network with professionals in the field and share best practices.
Session 1: Manual Testing of Data Categories
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This session focuses on the principles and methods for manually testing different data categories, including date, numeric, and character data. It covers techniques to ensure data accuracy, consistency, and validity.
Session 2: File-Level Testing
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This session delves into risk-based reviewing of delimited files and other file types. It emphasizes the importance of file-level testing to proactively identify and mitigate potential data quality issues.
Session 3: Automated Data Profiling
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This session explores the use of built-in functionality for efficient, scheduled, and comprehensive data profiling. It covers how to leverage data quality (DQ) tools, profiling techniques, and scripting to automate the profiling process, ensuring thorough and ongoing data quality assessments.