TONIGHT join us for the best happy hour of #DataAISummit, we'll be hosting @LloydTabb, founder of Looker and creator of @MalloyDev, for a fireside chat at Stable Cafe in SF. Nearly 100 RSVPs have poured in, there's still time to join us for drinks & discussion in the cafe's secret garden: rilldata.com/events/data-tal… We'll be dishing on all things data, including the latest news about Tabular's $1B+ acquisition, DuckDB's big 1.0 milestone, and Cube.js' $25M fundraise.

Dashboard sprawl sucks. Ironically, too many dashboards is actually worse than having too few. Why? Here’s a short 🧵…

I recently joined @ericdodds and @KostasPardalis on The Data Stack Show to chat OLAP engines and BI. Here the tl;dr of what I said to save you 57 minutes of your life: * Long live OLAP - Fast OLAP engines make dashboards awesome; but scaling up OLAP is hard (c.f. @ClickHouseDB , @druidio , @startreedata , @motherduck ). * MOAR SQL - SQL belongs *everywhere* in the data stack: ETL pipelines, database, semantic layer, and even in the dashboard. * AI writes BI-as-code: In a world where AI writes our code (hello Devin), a code-first products present an unreasonably effective interface. * 3 Generations of BI: The data powering BI tools has evolved from desktop (CSVs), to cloud databases (Snowflake), to now serverless object stores (Iceberg). If you want to listen to the long form version, Kostas and Eric asked some great questions... it was fantastic being a guest and check out some of the other shows (most notably @wesmckinn a few episodes back): datastackshow.com/podcast/ol…

Fast databases like @ClickHouseDB deserve fast dashboards. We're excited to announce that as of our 0.41 release, @RillData dashboards can now run on @ClickHouseDB. With this live connector, ClickHouse users can instantly transform any table into an exploratory dashboard, with a single click. More details for how to try it yourself are here: rilldata.com/blog/operationa…