Automating Data Visualization with Streamlit: From S3 to Interactive Dashboards

Kamesh Sampath (~kameshsampath)




Ingesting raw data into data warehouses is a common practice, where it undergoes processing and transformation to become cleaner, more insightful datasets. These warehouses, often supported by cloud storage like S3 buckets, are essential for data-driven decision-making.

Imagine automatically visualizing the data as soon as it lands in an S3 bucket, transforming it into beautiful, interactive data applications. In this session, we’ll see how to achieve this using Streamlit, an open-source project that makes building data applications simple and powerful.

We'll explore the process of setting up automated data visualizations, creating interactive dashboards, and building applications with Streamlit. By the end of this session, you’ll be equipped with the knowledge to turn raw data into actionable insights effortlessly, leveraging the power of open-source tools and data cloud platforms like Snowflake.

Speaker Info:

Kamesh is a seasoned author and developer advocate with nearly two decades of experience in the tech industry. He is passionate about empowering developers by sharing cutting-edge knowledge, tips, and tricks. Specializing in data cloud technologies, Kamesh actively educates and inspires the developer community to achieve greater success. Throughout his career, he has played a key role in building robust enterprise solutions for a diverse range of clients in the services industry.

Speaker Links:

Section: Python in Web and Applications
Type: Talk
Target Audience: Beginner
Last Updated: