Streaming DataFrames: Build apps on real time data streams
Quix Streams is a fast and general-purpose processing framework for streaming data. Build real-time applications and analytics systems on data streams using Python DataFrames and stateful operators, all without having to install a server-side engine.
If you are already using Kafka and Python or are just assessing your options, Tim takes you through how Quix Streams can help you streamline your data processing workflows using pure Python and DataFrame like syntax.
Learn how to build real-time applications using Kafka and Python, empowering you to process and analyze real-time data. We cover essential concepts such as DataFrame manipulation, stateful processing and window operations, providing you with the tools to optimize your workflows and enhance your data processing capabilities.
Deepen your existing knowledge with practical insights from Tim, to create efficient real-time applications that can handle dynamic data streams in a scalable, stateful and efficient way.
Unlock the potential of real-time data processing and take your applications to the next level!
Make sure to subscribe for more tutorials and updates on building powerful data-driven applications!
Check out Quix Streams on GitHub https://github.com/quixio/quix-streams
Tutorial: https://quix.io/docs/quix-streams/tut...
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0:00 Introduction
0:45 Setting Up Your Kafka Application
2:15 Understanding Data Frame Manipulation
4:30 Streaming Operations Overview
6:50 Best Practices for Optimization
8:15 Conclusion and Next Steps
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