A friendly reminder to all data scientists: Data does not fall from the sky. Data has to be collected and then processed. And most of this work is done by a data engineer. Thanks, data engineers 🙏

if you're building a data intensive solution, most of what you raise will go to your cloud provider cloudflare is essentially letting you build without having to raise, on top of being the most cost effective cloud out there $250k credits... wild 🤯

Ever try to use a complex payload to extract real time metrics? It’s usually difficult, if your pipeline supports it at all. Well we support it now, and it’s very powerful.

You know what's awesome? Crafting the perfect complex event schema for your #Analytics. Modern data tooling handles these structures without issue. But observability? NOPE. Well, Aggregations.io does. aggregations.io/blog/aggregati…

Improving the efficiency of your #data org is hard. You've got constant asks for new stuff and you still need to keep everything working. Who has time for niceties like documentation and schema management? Well - that's where Aggregations.io comes in.

What if I told you you could: - Get rid of JOINs - Increase query speed - Kill annoying ETLs - Not sacrifice the final query result? Well with one of my favorite ClickHouse features, you can. The humble, but mighty Dictionary 📖. aggregations.io/blog/clickhous…

Fantastic resource for folks interested in Data Engineering & Analytics 👇

So. Many. Data. Pipelines.

Nobody told me that.

Shipping a big new feature for Aggregations. I built it in <1 week. Relied on: - foundations I’ve built by not taking shortcuts. - experience building similar thing at prev job. - not caring about the UI (too much). It’s all coming together. Thank you past Jeff.

It's amazing what 2 little words can do to your query performance. In this case, it was mySQL's STRAIGHT_JOIN Silly analyzer, you think you know better than ME?