Automating data migrations and critical data engineering workflows to help data teams ship high-quality pipelines faster and more confidently.

Joined November 2020
Datafold retweeted
I met Joe! Flagged him down at our booth! #BigDataLDN
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Datafold retweeted
my take on @dbt_labs's audit_helper vs @datafoldcom's data-diff these are two packages for data diffing that I've used in my data practice and contributed to developing, so ... I have opinions! informed ones! datafold.com/blog/dbt-audit-…
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The modern data stack was badly in need of a better way to test data pipelines before they’re in production—a frustration @glebmm experienced at Lyft and Autodesk and is out to solve with @datafoldcom. Check out our interview here: primary.vc/firstedition/post…
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Datafold retweeted
✨vendor content✨ I seek test users and feedback! this is a tutorial I wrote to help you use data-diff, an open source (free) tool to check for changes between two versions of a table. such as when editing a dbt model. please give it a spin! docs.datafold.com/guides/os_…
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Datafold retweeted
How do you validate data pipelines? data-diff by @datafoldcom is an open-source project to find differences between database tables. How? Recursively splits data into segments and checksums rows to compare! #dataengineering airbyte.com/tutorials/valida…
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Datafold retweeted
I got asked recently for some interesting projects in the data space. Here are some of my favs. 👇 @datafoldcom data-diff @inkandswitch cambria @TigerBeetleDB tigerbeetle @aerialfly buz @mycelial mycelial (@sarahcat21 pointed me to .. all of these?)
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Come fold some origami at our Coalesce booth
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😱 This week Datafold's @glebmm joins us and shares the horror story that led him to start @datafoldcom. Tune in to learn why he believes we need to invest in better systems for how we do data in production. Listen: bit.ly/3STKzsh
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OK, besides forcing everyone to lowercase/uppercase SQL keywords, what do you use CI for in your data/analytics repo?
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What if engineering doesn’t want to sign the data contract?
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3/ Data breaks! Disaster ensues. @datafoldcom is a data quality platform promising no more broken pipelines, models, or dashboards. CEO @glebmm gives the tour 🚀 Video: youtu.be/OSNz-gKrdqI #DataDrivenNYC
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👇 data-diff by @datafoldcom and @Sirupsen looks like a really useful tool if you run data streaming pipelines propagating data from one DB to another. It uses checksumming to efficiently diff large volumes of data. github.com/datafold/data-dif…
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🤔 What if you could power real-time product experiences with the analytical horsepower of a data warehouse? With Hightouch…you can! hightouch.com/blog/power-you…
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How does data stack up against the gold standard of testing? Join me at the OA Club's Summer Community Days at 3:00 pm ET to find out. (Register here: bit.ly/3O6sc07)
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Your warehouse is your single source of truth. Don't let it become your single source of failure. 🔎 Find and fix potential bugs before they break things in production with @datafoldcom and Hightouch. hightouch.com/blog/boost-the…
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Pushing a SQL hot fix without diff and the slack messages start pouring
📈 just released our first data viz app built into @RillData Developer, our conversation-speed SQL tool! Users have asked us if we'll add more tooling on top of our modeler. This is our first foray; a fast, simple dashboard that is probably good enough for 80% of your data work
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Data breaks! Yielding to all sorts of data quality issues Data reliability platform @datafoldcom has a very cool “Diff” feature to compare datasets in a database or across databases. #DataDrivenNYC
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