Data Quality: Validating the Data Supply Chain

Join us for Charlottesville Data Science's January event!

Please join Charlottesville Data Science for the talk Data Quality: Validating the Data Supply Chain from Rachel House of Great Expectations! We'll be gathering in person at the Center for Open Science.

About the talk

Data fuels the modern world. Organizations increasingly leverage data to build complex ecosystems, infrastructure, and products. Whether your interest is analytics-informed decision making, training the latest model, building a data-intensive application, or something in between, the quality of your data is fundamental to your outcomes. In this introductory talk, we’ll discuss the importance of data quality, common data quality dimensions, data quality across the organization, mechanisms to assess data quality, and open source Python tooling for data quality.

About the speaker

Rachel House is a Senior Developer Advocate at Great Expectations. Her recent foray into the developer relations and education space is preceded by a sixteen-year career as an engineer. Rachel has enjoyed working in a variety of roles, including data engineer, software developer, and data scientist, that have granted her broad experience in the practicalities of designing and building solutions with data.