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| Platform |  | Pricing | Freemium | Publishes | Twice weekly |
|---|---|---|---|---|---|
| Issues | 247 | Founded | 3 years ago | Last Issue | 4 days ago |
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Benchmarking DuckDB and Polars on 10GB, 50GB, 100GB, 200GB, and 465GB datasets.
For Fun
Disclaimer: This article is not sponsored by or affiliated with any organization. The intent is not to criticize or undermine either vendor; the benchmark is based solely on my curiosity and observations.
I spent 10 hours vibe-coding a tool to visualize any Parquet file’s internals
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A stream processing project right on your laptop: Kafka, Flink, and ClickHouse
To learn stream processing
Intro In the previous article, I shared my experience of self-learning stream processing from zero. While writing it, I realized that theory alone won’t make it click. That’s why I designed a project to better un...
[FREE] What Is a Data Contract?
Reminder: I’m offering a limited-time 50% discount on the annual plan:
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Once you claim it, the discount will be applied forever.
Now, with only $5/month, you will have access to:
- 200+ deep-dive data...
How to start learning stream processing from zero?
The dataflow model, throughput and latency, and the tools
You know what? After finishing this article, I realized it would be even better to have a companion article that walks through a hands-on project to reinforce the concepts covered h...
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Data Engineer · Trusted by 18,000+ engineers · I write what it takes to become a production-ready data engineer → vutr.substack.com
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