Streaming DataFrames: A New Way to Process Streaming Data in Python

Schedule

Room: Room 111

April 5

12:00–12:25

Abstract

Introducing an open source library in Python: Quix Streams. It solves all the complexities of stream processing in a cloud native package with a familiar Pandas DataFrame API interface. This library lets you work with data like they are static in your Jupyter Notebook without any hassle associated with streaming technologies. Our mission is to bring masses of Python developers into streaming and make the journey as smooth as possible so real-time applications using ML are not so difficult

Prerequisites

None

Description

Introducing an open source library in Python: Quix Streams. It solves all the complexities of stream processing in a cloud native package with a familiar Pandas DataFrame API interface. This library lets you work with data like they are static in your Jupyter Notebook without any hassle associated with streaming technologies. Our mission is to bring masses of Python developers into streaming and make the journey as smooth as possible so real-time applications using ML are not so difficult. I will demonstrate this live on stage with examples of stateless operations and stateful operations like rolling windows and joins. Join me to learn how you can start working with streaming data today.