drewbanin
Re:Materialize Raises a $32M Series B
on Wednesday December 02, 2020 @08:53PM (#25284323)
We're super excited about materialize at Fishtown Analytics (the company that makes dbt). I think that the "reporting" use-case is well served by Snowflake/BigQuery/etc, but I do think that operational use-cases are left behind by batch-based transformation models.
The thing I'm most excited about in materialize is the ability to create Sinks (https://materialize.com/docs/sql/create-sink/). The combination of 1) streaming transformations over realtime source data and 2) streaming outputs into external systems feels like the way of the future IMO.
I saw a dbt-materialize plugin (https://github.com/jwills/dbt-materialize) out there in the wild. My guess is it's not ready for primetime yet, but would love to bake support for materialize into dbt when the time is right :)
Re:Ask HN: What tools do you use for data munging and merging?
on Tuesday January 14, 2020 @01:00PM (#22047364)
Hi there - I run product for dbt - happy to chat more about Oracle support if you're interested. There are a handful of community-supported dbt plugins out in the wild. Oracle could very well be one of the next ones. Check some of these out to see what's involved in building a database plugin:
- https://github.com/fishtown-analytics/dbt-spark
- https://github.com/fishtown-analytics/dbt-presto
Re:Scaling Knowledge
on Thursday September 06, 2018 @12:21PM (#17927353)
Hey there - co-founder of Fishtown Analytics here. Happy to answer any questions about dbt in anyone has them!
You can also check out this walkthrough/tour of the dbt documentation site: https://blog.fishtownanalytics.com/using-dbt-docs-fae6137da3...
Re:GitLab is working on a tool just for data teams
on Wednesday August 01, 2018 @10:42PM (#17668911)
One of the maintainers of dbt here -- this was an amazing conversation and I'm so happy I caught it. Thanks both for sharing :)
Re:What's new in dbt 0.9.0
on Thursday October 26, 2017 @04:23PM (#15562681)
Hey - I'm one of the maintainers of dbt. Happy to chat about the software or generally how we think about analytics in here!
Re:Audio Fingerprinting with Python and Numpy (2013)
on Friday September 30, 2016 @05:07PM (#12615304)
I used dejavu for a college project with some classmates. We made an app called JamJar which stitches concert videos together based on audio fingerprints. It worked super well! We've neglected the app for a few months now, but you can still check it out at http://projectjamjar.com
Huge thanks to Deja-Vu! Awesome library