Brim Data (@brimdata) header
Brim Data (@brimdata) profile picture

The company behind SuperDB (https://nitter.gq/t.co/HPkC7SvXnT)

Oakland, CA
Joined January 2020
Photo by Brim Data (@brimdata)Photo by Brim Data (@brimdata)Photo by Brim Data (@brimdata)Photo by Brim Data (@brimdata)Photo by Brim Data (@brimdata)Photo by Brim Data (@brimdata)Photo by Brim Data (@brimdata)Photo by Brim Data (@brimdata)Photo by Brim Data (@brimdata)Photo by Brim Data (@brimdata)
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The little UI details... Also, we're working on bringing an "inspector" view to the Zui detail pane in the right sidebar, much like the "inspector" view in the main results, but for only the selected value. Stay tuned.
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Love this quote from a happy zq user! We expect Zed is going change some norms in the data world. #DataEngineering #DataScience
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We are now creating Apple silicon builds for Zui. We previously only built for Intel and relied on Rosetta to run on the “M” chips. If you are on a newer Mac, you’ll enjoy a performance boost thanks to our friends in Cupertino. You can find your platform on our download page.
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Replying to @wgeary
What software was used to create this?
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Replying to @simongerman600
This is beautiful.
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Red squiggly lines! The Zui app can now detect errors in the query and mark them up within the query editor as you’re writing. It can underline your semantic errors in addition to syntax problems. Thanks to @MattNib for the /query/describe endpoint. #datascience #dataviz
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Replying to @bibryam
Perfect description. Although Java & Kubernetes can actually die and the world would be just fine.
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Replying to @gunnarmorling
Why do we think that everything must do everything?
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Fresh off the build servers! A new Zed and Zui release. Here are the best parts: 1. Inline Editor Errors 2. Apple Silicon Support 3. Redesigned Settings 4. JSON Pretty Print CLI Option Read the details on the Brim Data Blog: brimdata.io/blog/june-2024-r…
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Turns out you can build a high performance, vectorized query engine (development underway) where data self-organizes around its types instead of externally defined schemas. We call this super-structured data. zed.brimdata.io/docs/formats
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Replying to @joe_hellerstein
Boring software to news reporters means stable, finished, heavily relied upon software to developers.
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And as for Zed, we've got language improvements. like nameof() supporting type values and better scoping in user-defined operators. The buffer size for "line" input also got bumped up to 25MB. Full release notes here: github.com/brimdata/zed/rele…
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Zui got a big upgrade to the "export results" workflow. You can now export the results of a query to a new pool, an existing pool , or even your clipboard's paste buffer! Full release notes here: github.com/brimdata/zui/rele…
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It's a release day! We've got fresh versions of Zed and Zui up at brimdata.io/download Zui 1.7 Zed 1.15
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Pull up the export modal with the keyboard shortcut CmdOrCtrl+Shift+E
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Data has been incredibly easy to load into Zui, now it's just as easy to export it. Our latest Zui Insiders build includes the option to export the results of a query into a new or existing pool. Export to Pool Demo
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The whole point of schemas and tables is to have data type certainty. As soon as you put data in a JSON column however, all certainty is lost. There is even an entirely different query language within SQL you must use to interact with the JSON columns. If your foundation is built on table schemas, it begins to crack under the weight of complex types like arrays and objects. With a system like Zed which supports first-class types for primitive and nested data, type certainty returns. Schemas become simple policies determining if data is of a given type, not gatekeepers of saving bytes to disk. With Zed, the types allow for schemas rather than schemas allowing for types. What an exciting world to work in!
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Here we explore an entire day of public #GitHub activity about (2GB compressed) with Zui and Zed's fuse() aggregator. With a 4 word query, we can see the "schema" for each GitHub event type. Zed is a powerful tool for exploring unfamiliar datasets.
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The zed language now has the "grok()" function. Use it to turn lines of text into structured records. Here's a syslog example:
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