Machine learning
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From the blog
![Featured image for the "How to fix common issues when using Spark Structured Streaming with PySpark and Kafka" article published on the Quix blog](https://cdn.prod.website-files.com/64a7eed956ba9b9a3c62401d/6690104d4bc595087975e938_Feature%20image%20-%20Spark%20structured%20streaming%20issues.jpg)
Ecosystem
July 9, 2024
How to fix common issues when using Spark Structured Streaming with PySpark and Kafka
A look at five common issues you might face when working with Structured Streaming, PySpark, and Kafka, along with practical steps to help you overcome them.
![Featured image for the "Quix Streams, a reliable Faust alternative for Python stream processing " article published on the Quix blog](https://cdn.prod.website-files.com/64a7eed956ba9b9a3c62401d/6661557b60bb598fc98a58e7_blog_feature_image.png)
Ecosystem
June 6, 2024
Quix Streams—a reliable Faust alternative for Python stream processing
A detailed comparison between Faust and Quix Streams covering criteria like performance, coding experience, features, integrations, and product maturity.
![Pipeline diagram for data enrichment pipeline](https://cdn.prod.website-files.com/64a7eed956ba9b9a3c62401d/6654b5fac048686a6502d9c1_coverimage_enrich.png)
Tutorials
June 3, 2024
How to enrich a stream of data in real time with Quix and Redis
Learn how to enrich real-time sensor data streams by looking up device coordinates in Redis and appending them to the data stream using Quix.
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Why the data pipeline is changing everything
Find out why analysts and market-watchers agree that traditional data processing must be replaced by stream processing. It’s happening now as innovators embrace new opportunities for greater personalization, automation and revenue.
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