Value of Data Quality | The Data Development Lifecycle Guide for Data Quality Analysts
One of the core components of data governance is data quality. The data development lifecycle plays a fundamental role in the quality of data. What are the steps in ensuring that this lifecycle helps the data organizations meet standards set by governing bodies? How can a data quality analyst implement these steps? How is this done? Why is it so important? What must be done to ensure a working data lifecycle model?
Iria Osara is currently a Program Manager who is passionate about Data Engineering. Before transitioning into product management, she was a Senior Data Engineer at Deloitte, helping companies build data lake applications centered on healthcare, and before Deloitte, a Staff Software Engineer with IBM where she helped build scalable and reliable cloud applications.
She is passionate about teaching tech concepts through stories, hence she started TYT TechEd, a platform to expose kids not just to tech concepts but show how it relates to our surrounding environment and use the values from that to instill core moral values and build character. She writes tech-dev fiction stories for kids and adults. She currently is the author of the Teach Toddlers Tech Series and her new book ABC Techified.
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