Building a Real-Time analytics dashboard w. Streamlit Apache Pinot, and Redpanda

*The event will be hosted on Hopin, please register here.

When you hear "decision maker", it's natural to think, "C-suite", or "executive". But these days, we're all decision-makers. Restaurant owners, bloggers, big box shoppers, diners - we all have important decisions to make and need instant actionable insights. In order to provide these insights to end-users like us, businesses need access to fast, fresh analytics.

In this session we will learn how to build our own real-time analytics application on top of a streaming data source using Redpanda, Apache Pinot, and Streamlit. Redpanda is a streaming data platform with an API compatible with Apache Kafka, Pinot is an OLAP database designed for ultra low latency analytics, and Streamlit is a Python based tool that makes it super easy to build data based apps.

After introducing each of these tools, we'll stream data into Redpanda using its Python client, ingest that data into a Pinot real-time table, and write some basic queries using Pinot's Python SDK. Once we've done that, we'll bring everything together with an auto refreshing Streamlit dashboard so that we can see changes to the data as they happen. There will be lots of graphs and other visualisations!

Join us for one Hour of deepin dive into Real Time Analytics with those products, dashboard building and Q&A session.
Speakers: Dunith Dhanushka , Redpanda, and Mark Needham , StarTree