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What I Wish Someone Told Me About Postgres - Summary

This article offers practical advice on using PostgreSQL, highlighting tips to make data handling easier. Key points include:

- 🗄️ Normalize Your Data: Normalize to avoid redundancies unless you have a good reason not to.
- 📚 Follow the Documentation: Adhere to official PostgreSQL recommendations to prevent common mistakes.
- ⚙️ Understanding Indexes: Know how indexes work and when to use them, as a misconfigured index may be ineffective.
- 🚪 JSONB Caution: Be careful with JSONB; it can be slower and less self-documenting than standard columns.

Conclusion: The article compiles valuable lessons from years of PostgreSQL experience, aiming to help others avoid the same pitfalls.

https://challahscript.com/what_i_wish_someone_told_me_about_postgres
Comparing AWS S3 with Cloudflare R2: Price, Performance and User Experience
https://kerkour.com/aws-s3-vs-cloudflare-r2-price-performance-user-experience
DeepSeek, a Chinese AI research lab, has released DeepSeek-V3, a Mixture-of-Experts model that features a total of 671B parameters. The model was trained on 14.8 trillion tokens. It has been released on GitHub along with a detailed paper outlining its capabilities. The model outperformed Meta's flagship Llama 3.1 405B parameter model and many other closed-source models on benchmark scores. https://analyticsindiamag.com/ai-news-updates/deepseek-v3-is-the-best-open-source-ai-model/