Dr. Farewell - Thank you for your nice comment! I tried to give examples of every data issue in this data quality video. You are welcome to connect with me on LinkedIn at www.linkedin.com/in/inderpsingh/ Regards, Inder P Singh - Blog: inderpsingh.blogspot.com/
Thank you very much 🙏 You may find my database testing tutorials useful, especially on data normalization and testing. They are at ru-vid.com/group/PLc3SzDYhhiGVVb76aFOH9AcIMNAW-JuXE
Thank for sharing this amazing content! Dumb question: is data quality a area that a software QA can work in or is it a different position/role/profession?
Thiago Fragoso - Thank you for your positive comment! Though software QA can contribute to data quality, it's a specialized role focusing on data quality management and improvement. For example, the Data Quality Analyst may need extensive domain knowledge and provide high-quality data to Data Science teams, DevOps teams and of course QA.
Hello mister i'm from indonesia ,i visit your chanel because my lecturer give me home work. Next time i hope you made chanel use bahasa,because i dont completely understand english. 🙏
Or maybe the FirstName AND Email value of the 2nd row are wrong or another issue. But, I designed this example of redundancy in my video (Jack and John are nicknames of each other). Thank you for sharing your thought.
@Athens Fitzcheung - That's an over smart comment! What are you trying to imply? I designed these examples and the slides. This content is copyright by me. You may not use it elsewhere. Thanks!
very helpful, I hv data , but unable to identify the potential data quality issues in the variables and mechanism to deal with these data quality issues.
@murali chiyan - The simple answer is no, data redundancy is an issue of data quality. Good data should exactly one copy (non-redundant) for data integrity reason. However, sometimes data is duplicated (across partitions or disks or devices) for fault tolerance or performance reasons. That data redundancy by design is not an issue. Hope that I was able to clarify your query! Thank you!