1. Five Advantages of Log-Based Change Data Capture (https://debezium.io/blog/2018/07/19/advantages-of-log-based-...)

2. Why Data Architecture Should Guide Your Query Engine Decision (https://www.onehouse.ai/blog/why-data-architecture-should-gu...)

3. Reimagine Apache Kafka (https://streamnative.io/blog/ursa-reimagine-apache-kafka-for...)

4. Book Review: Designing Data-Intensive Applications | Henrik Warne's blog (https://henrikwarne.com/2019/07/27/book-review-designing-dat...)

5. Of Streams and Tables in Kafka and Stream Processing, Part 1 (https://www.michael-noll.com/blog/2018/04/05/of-stream-and-t...)

1. Machine learning adversarial attacks are a ticking time bomb - TechTalks (https://bdtechtalks.com/2020/12/16/machine-learning-adversar...)

2. How ChatGPT actually works (https://www.assemblyai.com/blog/how-chatgpt-actually-works/)

3. PrivacyRaven Has Left the Nest | Trail of Bits Blog (https://blog.trailofbits.com/2020/10/08/privacyraven-has-lef...)

4. Prompt injection: What's the worst that can happen? (https://simonwillison.net/2023/Apr/14/worst-that-can-happen/)

5. The big cybersecurity themes at Black Hat 2024 - and why they matter (https://www.reversinglabs.com/blog/the-big-cybersecurity-the...)

1. Snell-Pym » Processor architecture (https://www.snell-pym.org.uk/archives/2017/03/17/processor-a...)

2. Fun with vectors in the Raspberry Pi 1 - Part 9 (https://thinkingeek.com/2021/08/22/raspberry-vectors-part-9/)

I think we have enough pieces of machinery working already that we can start with the most exciting part of this journey: autovectorisation!

3. Efficiently compiling efficient query plans for modern hardware | the morning paper (https://blog.acolyer.org/2016/05/23/efficiently-compiling-ef...)

4. Understanding SIMD: Infinite Complexity of Trivial Problems ?? | Ash's Blog (https://ashvardanian.com/posts/understanding-simd-complexity...)

5. SIMD in the GPU world - RasterGrid (https://www.rastergrid.com/blog/gpu-tech/2022/02/simd-in-the...)