Slow metric exploration? Duck that. For metrics to be useful, they need to be explorable. For exploration to be useful, it better be fast. Michael E. Driscoll (Rill Data) shared a SQL-based metrics layer built for high-performance analytics databases like DuckDB & ClickHouse.

Quack... Quack... and code! Mehdi Ouazza and @medriscol from Rill Data are diving into how GenAI is reshaping BI-as-code — from idea to implementation. This one’s for data folks who want to see beyond the hype. Register : lu.ma/w4ncmttn

Nearly 20% of all open PM roles at tech companies globally are based in the SF Bay Area. And this share is growing (was 16% mid-2022) Same story for engineering, about 18% (and growing) This is even more stark for AI roles: over 30% of all open AI roles at tech companies

Why open table formats are suddenly all the rage? Why is AWS investing heavily in making Iceberg tables on S3, and why did Databricks pay a reported $2B to acquire Tabular? The answers might change how we think about data architecture.

On the last Quack&Code Mehdi Ouazza sat down with Michael E. Driscoll from Rill Data to explore how LLMs are revolutionizing the way we interact with data. They didn't just talk theory – they got hands-on with some fun demos, showing how AI can generate dashboards and metrics in real-time,

In God we trust, machine gods must bring proofs

Today we're launching DuckLake, an integrated data lake and catalog format powered by SQL. DuckLake unlocks next-generation data warehousing where compute is local, consistency central, and storage scales till infinity. ⁠DuckLake is an open standard and we've implemented it in

Good prompting is clear thinking made visible.

Data Council talks are live, so I'm going to link the DuckDB related ones here in a thread

To round out our AI deep-dive, our MCP for Real-Time Analytics panelists discuss how MCPs shift analytics to conversations—making complex data more accessible than ever. Why is ClickHouse so powerful for agentic AI? You need ClickHouse-level semantics, speed, and scale. 💪 Thank

ClickHouse just announced the availability of its MCP, now in private preview at clickhouse.ai. In a day chock full of big announcements at @ClickHouse’s first ever user conference, including a new $350mm investment led by Khosla Ventures, AI continues to headline —

Trying Rill MCP implementation with Claude. It worked on the first try with a local Rill and NYC and Pickup data set. I think we arrived at "self-serve BI" after many years of trying if we roll out MCP capabilities to everyone in the org. Beyond mere numbers, we get

Building software with code is faster / smarter than building software with clicks. The bloated UIs of many software development interfaces will become anachronisms.

New fund! Please send me your troublesome ringleaders...

Everything you could ever want in an early stage investor you can find in the superorganism that is Bloomberg Beta — embracing big ideas with a balance of Silicon Valley utopianism and NYC realism. I’ve known Roy E. Bahat for three decades and James Cham for two decades and I am a

"BI-as-code is becoming real. Last week, I walked through a live demo of one of these tools where: • Metrics layer, semantic model, etc, are both UI & YAML • Everything is version-controlled • GUI & YML = friendly interfaces for everyone Combine it with a modern

Hah! It's a sad OLAP cube

Ironic how an objective measure like investor performance can be so subjective… these “top VC” lists thrive on uncertainty & opacity. If private firm cap tables and valuations were public these lists would instantly evaporate.