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Data Streaming Journal

Yaroslav Tkachenko

Thoughts about data streaming, stream processing, and real-time data pipelines.

Platform
Substack
PricingOnly free issuesPublishesWeekly
Issues45Founded3 years agoLast Issue19 days ago
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Artwork for Data Streaming Journal

Latest Issues

Introducing Streamling: Performant and Extensible Data Streaming Runtime

Streamling is a performant and extensible data streaming runtime built with the RAD stack (Rust, Arrow, DataFusion).

I shared some progress before (post one, post two), but it’s finally open-sourced! I’ve been working on Streamling togeth...

19 days ago
3

Can Kafka Queues Make Consumers Faster? Part 2: Head-Of-Line Blocking

A few weeks ago, I published my findings about the new Apache Kafka feature: Queues.

Check the post if you haven’t already!

I kept receiving the same feedback:

  • Obviously, with all the additional overhead that comes with Queues, it...
2 months ago
1

Can Kafka Queues Make Consumers Faster?

For a while, messaging systems like RabbitMQ, ActiveMQ, and AWS SQS have been used as a foundational component of many enterprise architectures. Enterprise Integration Patterns is still one of my favourite books. I had my first exposure to...

2 months ago
1
1

Advanced Apache Flink On-Demand Course

A few months ago, I announced the Advanced Apache Flink Bootcamp, a deeply technical training focused on Apache Flink internals, production deployment, and advanced patterns.

I ran the first cohort in January and also had the chance to con...

3 months ago
3

Benchmarking CDC Tools: Supermetal vs Debezium vs Flink CDC

If you’ve been following my writing recently, you likely know I’m very bullish on the Rust & Apache Arrow data stack.

So when I first learned about Supermetal (almost 2 years ago), I got really excited! Finally, some innovation in the Cha...

4 months ago
14

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  • Yaroslav Tkachenko

    Data Streaming & Data-Intensive Applications | Consulting, Training & Custom Solutions

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