David Jayatillake reposted
How big should your data team be? Data teams are often oversized. A company of 200 people rarely needs 15+ data staff, usually 5% of org size is enough dataactionmentor.com/knowledge-ba...
David Jayatillake
@jayatillake.bsky.social
Writer @ davidsj.substack.com
2.5K followers612 following942 posts
David Jayatillake reposted
How big should your data team be? Data teams are often oversized. A company of 200 people rarely needs 15+ data staff, usually 5% of org size is enough dataactionmentor.com/knowledge-ba...
This week I look at agents. I think this is a new way to build where we don’t intentionally build code-based software. open.substack.com/pub/davidsj/...
BERT and ERNIE! 😂 tracking.tldrnewsletter.com/CL0/https:%2...
This post encapsulates how I feel about the current state of LLMs and doomers etc. Really great read: fly.io/blog/youre-a...
David Jayatillake reposted
It is possible to build machine learning systems which punch up instead of punching down.
A lot of people say generative AI shouldn't infringe on copyright. These researchers actually tried to do it. The result: an 8 terabyte dataset of text that's openly licensed or in the public domain & 7 B parameter model that performs as well as Meta's Llama 7B www.washingtonpost.com/politics/202...
David Jayatillake reposted
Got a cool story about something in the data engineering space? You should 💯 submit it as a talk to Current 2025 in New Orleans 😁 Do it! Now! CfP is open until 15th June. sessionize.com/current-2025... (Pro-tip: you only need an abstract at this point; writing the talk can be later 😅) #dataBS
David Jayatillake reposted
At the London Data Practitioners Meetup with @pedramnavid.com @jayatillake.bsky.social @rittmananalytics.bsky.social and the London Dagster community
I still think this is the biggest prize in AI. If Siri could actually do most things you do on a phone manually... 9to5mac.com/2025/04/22/s...
Has anyone tried Llama 4 Maverick yet? How big a machine does it need to run locally? @simonwillison.net
Once again, we've devised a derogatory name for something many of us are doing: "Vibe coding". Just like "Citizen Data Scientist", "Excel Data Analyst", and many other terms made to belittle by the supposed true artisans that came before. open.substack.com/pub/davidsj/...
A couple of weeks ago I wrote a post about @pola.rs Cloud, and as coincidence would have it, DeepSeek then releases smallpond - a way to use @duckdb.org scaled out. It's pretty cool that an org has managed to build this, but is it the right way? davidsj.substack.com/p/many-ducks...
🗣️ It was a real honour to speak at the very first Forward Data Conference in Paris last November, not to mention being introduced with a special piano verse just for me! 🎹 www.youtube.com/watch?v=QNQW...
I hope you enjoy my talk, and see if you can spot @joereis.bsky.social and @hannes.muehleisen.org in the crowd. This was a really cool conference to attend, too. They will definitely need a bigger venue this year!
🏭 @tobikodata.com released a great new feature for SQLMesh last week called blueprinting. This is a feature that the dbt Labs community has been asking for for ages, and I’ve been wanting it too! open.substack.com/pub/davidsj/...
🦆🦆🦆🦆 everywhere these days count.co/blog/announc...
David Jayatillake reposted
New episode: “Semantic Layers: The Missing Link Between AI and Data” with @jayatillake.bsky.social . We discuss how semantic layers bridge raw data and AI, achieving 100% accuracy for natural language queries, and what’s next for LLM-powered data pipelines. 🎧 https://techontherocks.show/14 🎧
pola.rs/posts/polars... This so reminds me of @motherduck.com and @duckdb.org, I guess the open source Polars is as good as it can be on one machine, and Polars Cloud is as good as it can be on many.
David Jayatillake reposted
🚀 Exciting times in the data transformation space! Recently, dbt Labs acquired SDF Labs, while @tobikodata.com acquired Quary (YC W24)—both promising Rust-based frameworks. So is SDF better than SQLMesh? No. open.substack.com/pub/davidsj/...
Announcing a new Substack! Focused on the theme of applying AI to analytics. I'm collaborating with Artyom Keydunov and Brian Bickell on this, and we'll bring you interesting, trending articles and news on our theme. aiforanalytics.substack.com/p/ai-for-ana...
David Jayatillake reposted
David Jayatillake reposted
DuckDB out here making me avoid other SQL dialects
We are happy to announce DuckDB v1.2.0 “Histrionicus”! The new release has several usability, security and performance improvements. It has new features for the CSV and Parquet formats, as well new (opt-in) options for DuckDB's own format. Read more at duckdb.org/2025/02/05/a...
David Jayatillake reposted
DuckDB 1.2 brings serious performance to real-world queries! Selective joins, IN lists, Top N, partitioned parquet reads, and more get much faster! Performance is also incrementally improved ~across the board. Plus, the CSV reader improves (latin-1 for Windows folks!), SQL is friendlier, and more!
We are happy to announce DuckDB v1.2.0 “Histrionicus”! The new release has several usability, security and performance improvements. It has new features for the CSV and Parquet formats, as well new (opt-in) options for DuckDB's own format. Read more at duckdb.org/2025/02/05/a...
@anthropic.com's Dario Amodei wrote a really thoughtful piece on the @deepseek.bsky.social situation and how it relates to overall macro end games with AI: darioamodei.com/on-deepseek-...
David Jayatillake reposted
They need to substantiate this. Otherwise, it sounds like sour 🍇. www.macrumors.com/2025/01/29/o...
David Jayatillake reposted
I didn't realise there was another way... I either discover code or copy-paste and edit an existing solution... plus now AI. jimmyhmiller.github.io/discovery-co...
David Jayatillake reposted
Replying to @nicoritschel.com
If you're considering SQLMesh, @jayatillake.bsky.social has a great blog series from the end of last year that does in depth comparisons with DBT