Product & DX @the_cube_dev 🥑. Org @icfpcontest2020 🤘
Joined June 2012
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Igor Lukanin retweeted
Our researchers have deciphered most messages, but are facing problems they can't solve. The ICFP community is asked for help, the work is presented at Friday 28 June 2024 at 12:00 UTC via icfpcontest2024.github.io/ Sharpen your lambdas and get ready!
Igor Lukanin retweeted
ICFPC 2024 researchers have been able to set up a communication channel! Unfortunately the messages make no sense yet, we need 6 more weeks to figure out what they mean. icfpcontest2024.github.io/
Igor Lukanin retweeted
The Pegovka Observatory has received strange signals again. Investigations have started, we hope to report back in 3 months.
Igor Lukanin retweeted
Make your VP of DevRel your VP of Product you cowards
Igor Lukanin retweeted
The ICFP programming contest 2024 is scheduled to be held from 28 June - 1 July 2024! See icfpcontest2024.github.io/ for more details
Igor Lukanin retweeted
New in @SnowflakeDB's SQL: GROUP BY ALL
This saves time and prevents errors, as the compiler figures out the columns that need aggregation.
E.g., in the pic GROUP BY ALL takes cares of the query - instead of "GROUP BY tag, answered, year" or the obscurer "GROUP BY 1, 3, 4".
Igor Lukanin retweeted
Excited about Cube’s place in the emerging modern AI stack and all integrations we are releasing soon!
cube.dev/blog/semantic-layer…
Igor Lukanin retweeted
Now, data engineers are able develop the data model in the semantic layer and instantly surface metrics to one or many BI tools like @apachesuperset, @preset_data, or @metabase.
Introducing Semantic Layer Sync: cube.dev/blog/introducing-se…
Igor Lukanin retweeted
Data pipelines resemble Lego toys, built with diversely colored tools that need excessive person-hours to integrate properly. Now, you can easily blend the semantic layer into your data pipelines.
Introducing Orchestration API: cube.dev/blog/introducing-or…
Igor Lukanin retweeted
Data engineers should have a human-friendly, visual way to explore contents of the semantic layer and take a bird’s-eye view of the data model.
Introducing Data Graph: cube.dev/blog/introducing-da…
Igor Lukanin retweeted
Come travel across the Data-Verse with Cube.
This week, we will announce several updates to our #semanticlayer that evolve and strengthen Cube’s integration and interoperability with other tools in the data stack: cube.dev/blog/semantic-layer…
Would anyone like to help this person on Reddit pick a semantic layer? 🤔 #semanticlayer reddit.com/r/dataengineering…
Igor Lukanin retweeted
Today, we've release Cube Core v0.33 — the Data Modeling Update.
In this one, we focused on improving the data modeling experience to help you build maintainable semantic layers in "the Cube way".
Read more in the blog post by @keydunov: cube.dev/blog/cube-core-v0-3…
Igor Lukanin retweeted
ICFP Programming Contest 2023 will be held between 7th to 9th of July, 2023. Contest chair is Aymeric Fromherz, and I will be acting as the co-chair. Follow @icfpcontest2023 and icfpcontest2023.github.io for announcements.
Exactly! Great job contrasting Supabase vs. Neon feature launch tactics
1) @supabase is a master class in marketing to developers
Look at how they capitalized on the swell of interest in vector databases
Cube Partner Network involves working with the one and only @brianbickell who is genuinely one of the nicest people in data ☺️
Excited to launch the Cube Partner Network—a group of Cube Consulting experts who help our customers streamline deployment and build beautiful things 😌
cube.dev/blog/introducing-th…
Igor Lukanin retweeted
Excited to launch the Cube Partner Network—a group of Cube Consulting experts who help our customers streamline deployment and build beautiful things 😌
cube.dev/blog/introducing-th…
Igor Lukanin retweeted
Join @olivierdupuis and Lewis Baker from @rittmananalytic along with @brianbickell and @igorlukanin on our webinar “How Rittman Analytics delivers the semantic layer today with Cube”, March 22nd 9am PT rittmananalytics.com/blog/20… – at Hove, England
A few weeks ago, I've built this bot that tags threads in @the_cube_dev's Slack community with relevant emojis. You drop "Cube" or one of many other keywords, it responds with an icon. Nice touch, isn't it?
Wanna see it in action? Join 8,000 data folks at slack.cube.dev, go to #introductions, and express yourself
I wonder if other big Slack communities might wanna have the same thing. If so, I might just open source the bot or run it as a service. @getdbt, @apachesuperset, @AirbyteHQ, @MaterializeInc, @trinodb, anyone? 😉