Marie-Kristin Wirsching
I am a data scientist working at inovex GmbH, supporting our clients in their data-driven projects across the entire machine learning life cycle. My passion lies in everything related to AI, NLP, and Computer Vision, and I am always eager to dive into real-world data to uncover valuable insights.
Session
Data stories transform complex data insights into clear, actionable and context rich narratives to drive business value. The presentation of data stories to different audiences in a visually compelling manner while keeping track of data changes is a challenging task. A possible solution is to implement appealing and interactive data applications, for which Streamlit is an established open-source solution. In combination with Snowflake, it enables an efficient and straightforward approach to build engaging data applications that utilize data directly from a data platform.
In this talk, we will explore a proof-of-concept, tracing the conception of a data story to the implementation of a Streamlit app in Snowflake by using open source datasets from Deutsche Bahn. So, hold onto your seats – it is time to explore the world of data apps with Snowflake and Streamlit.