SQLMesh

SQLMesh is an open source DataOps framework from Tobiko Data that brings the best practices of DevOps to data teams.

[SQLMesh @SQLMesh]

🏎️ SQLMesh now supports @ClickHouse, bringing precise, error-free data transformation to one of the world’s fastest analytical databases.

Build, test & deploy with zero disruption + real-time analytics at unmatched scale. Read more about our integration: https://t.co/Dhc02dW1S9

[MLOps Community @mlopscommunity]

I'm with @ericriddoch and Ben Epstein live coding with SQLmesh. Come join us https://t.co/p8UJW9Q3EM

[Mark Rittman @markrittman]

This week’s episode of @drilltodetail features @Captaintobs from @TobikoData on @Airbnb, #DataOps and the engineering innovation behind @SQLMesh

[Nico Ritschel @nicoritschel]

After a positive experience moving most of our data models @atmdotcom to @SQLMesh I couldn't help but put this together. https://t.co/v1xJPIysgs

[SQLMesh @SQLMesh]

@dltHub @TobikoData Thanks! So happy to have you with us on this ♥️

[dltHub @dltHub]

dlt-SQLMesh generator: A case of metadata handover

With this integration, incremental models can be automatically generated in SQLMesh based on dlt metadata

https://t.co/DE0tnElPJh

[Tobiko Data @TobikoData]

Tired of messy data pipelines? 🥹🫣

Check out the @SQLMesh + @dltHub integration for seamless metadata handovers, faster scaffolding, and incremental processing. 💻

Simplify your data workflows! 🔗
https://t.co/F1B1qSTRlp

#DataEngineering #DataPipelines

[DataTalksClub @DataTalksClub]

Featuring SQLMesh on this week's episode of Open-Source Spotlight, our series where we're discovering open-source tools.

@TobikoData's Toby Mao, @Captaintobs, joined us in demonstrating how this tool can help data team workflows.

Watch the demo here: https://t.co/3hRx56uZgT

[Tobiko Data @TobikoData]

Join @Captaintobs and @Al_Grigor from @DataTalksClub on their Open-Source Spotlight series, where they talk through the benefits of @SQLMesh like:

♦ Column-level lineage
♦ Environment Management
♦ Instant Prod deployments

and much more!
https://t.co/SvUDjvygel

[Tobiko Data @TobikoData]

Want to learn about running your #dbt project with @SQLMesh?

Check out our latest YouTube video to run through a workflow using the classic Jaffle Shop example project!

https://t.co/JIZ2sGywn4

[SQLMesh @SQLMesh]

This rounds out our Quickstart guide!

What would you like to learn about next?

[Tobiko Data @TobikoData]

Our latest #YouTube #video is up!

#learn how to make changes to your #data #models with @SQLMesh plans!

#opensource #community #tutorial

https://t.co/UR6RhJWFR4

[SQLMesh @SQLMesh]

The @SnowflakeDB #summit this year looks awesome! 😍❄️

[Tobiko Data @TobikoData]

📷Calling all #AI and #ML developers: #DataCloudDevDay is coming June 6 to San Francisco!
@Captaintobs, @TysonMao and Afzal Jasani are featured attendees at the Data Engineering, Startups, and Open Source meetups – RSVP for free to hang out with us 📷https://t.co/TksdCqpcIZ

[Toby Mao @Captaintobs]

Some exciting new features just dropped for @SQLMesh v0.100!

Snowpark's DataFrame api is now available to use in Python models! Now you can leverage the power of Python and Snowpark to run advanced transformations that run directly on Snowflake! Python models are super easy to write and debug with SQLMesh because they run wherever you run SQLMesh. The driver code runs on your laptop while the distributed code (dataframe api) runs in the warehouse. It's the best of both worlds!

Another really cool feature we've added is the new Incremental by Partition model kind / materialization. These are special models that will incrementally replace partitions while keeping existing partitions intact. For example, if you have a dataset that is partitioned by country, and every day, you want to only refresh a set of countries.

https://t.co/ivwKGpV4FJ

https://t.co/BeulB7AKOt

[SQLMesh @SQLMesh]

The start of a busy 3 weeks for the @TobikoData #team!

[Tobiko Data @TobikoData]

@DeveloperWeek #management and #AI dev summit start TOMORROW! 🥳

@MarisaDataNerd's talk and #roundtable are tomorrow back to back; join her to get the most out of your data pipelines. 📊

https://t.co/t0seRxhAhc

#conference #sanfran #datapipelines #dataanalysis

[SQLMesh @SQLMesh]

its a packed #conference season for the @TobikoData team 🥳

#conferencealerts

[Tobiko Data @TobikoData]

The @AgileAlliance 2024 #conference is coming up quickly! 🎉

#register today to see @MarisaDataNerd's talk!

🆔 #MarieKondo Your Data Pipelines with @SQLMesh
🗓 Tues, July 23rd
🕥 10:45 AM - 12:00 PM
📍 @GaylordTexan #dallas

https://t.co/cwdzoYlmck

#Speaker #agile #TechTalk

[SQLMesh @SQLMesh]

Get a sneak preview of the #CaseStudies from #real #opensource SQLMesh users!

[Tobiko Data @TobikoData]

@DeveloperWeek #management #conference is NEXT WEEK! 🤯

Catch @MarisaDataNerd's talk on Scaling your #DataPipelines with #OpenSource

🗓 Wednesday, May 29th
🕙 10 am PDT

https://t.co/t0seRxi86K

[SQLMesh @SQLMesh]

#data #intelligence for all! 🤓📊

[Tobiko Data @TobikoData]

The @databricks #DataAISummit is coming up quickly, and we are #sponsors!! 🥳

Come by our booth to learn about our #opensource @SQLMesh project! 🧑‍💻

📅 June 10-13th
📍 @MosconeCenter

https://t.co/FWIs1vLir1

#dataforall #dataintelligence

[SQLMesh @SQLMesh]

More to come!

#opensource #community

[Tobiko Data @TobikoData]

Announcing our latest #blog!

We #partnered with the wonderful team at @VoltronData to create a guide on how to use the fantastic #opensource projects @IbisData and @SQLMesh together!

Streamline your #data #analysis 😍

https://t.co/OGZFEqexSQ

[SQLMesh @SQLMesh]

Yeah! Gotta love that #data 😍

[Tobiko Data @TobikoData]

The @DeveloperWeek #management and #AI #dev #summit are in 2 weeks 🤯

Join @MarisaDataNerd to get real #data and #Case #Studies on how to scale your data pipelines using @SQLMesh! 📊

https://t.co/t0seRxhAhc

#DataPipelines #casestudy #dataengineering #dataanalytics

[SQLMesh @SQLMesh]

Come visit us at our #DataCloudDevDay #booth 🥳

[Tobiko Data @TobikoData]

We can’t wait for @SnowflakeDB's #DataCloudDevDay! 🤖
Join us to learn about @SQLMesh and #DataTransformation 🙌

Register now for free:
https://t.co/TksdCqoETr