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Discover how Adobe is redefining its Data Supply Chain through an AI-first, agentic solution that transforms the entire Data Development and Delivery Lifecycle (DDLC). This next-generation engineering workbench empowers data engineers, analysts, and practitioners with intelligent automation, context-aware assistance, and seamless collaboration to accelerate and streamline every phase of the data supply chain — from capturing business intent and sourcing data to building pipelines, validating quality, and delivering trusted, actionable insights.

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.

How to find us

The Center for Open Science is located in the Downtown Business Center, which is connected to the Omni Hotel on the Downtown Mall. If you're driving, you can park in the Omni Hotel parking garage and the Center for Open Science will validate parking. Please proceed to the lobby and follow the signs to the Center for Open Science office in Suite 500. If you’re facing the front desk, proceed past the front desk to the left, pass the ballrooms on your right, and proceed through to double doors to the business center. If you have any issues, feel free to ask for directions to the Center for Open Science at the front desk in the lobby.