We launched a thing! We changed a thing! We're really excited about these things!
⊠just not a good one to keep! In this two part series youâll learn how we rearchitected our scheduler to meet greater demand in dbt Cloud. For those looking for more technical detail, the second post will be written by and for engineers interested in troubleshooting distributed systems.
Ongoing incidents with dbt Cloud have created slowness and lack of availability. Here is a recap of what happened and our plans to fix this.
Read article
Last year we placed a big bet on foundational work â stability, reliability, and speed. 12 months, and a 600% increase in enterprise business later, we're focused on establishing dbt as the default standard for all enterprise data teams.
Read article
dbt Labs now offers five free courses for the emerging analytics engineer. Those new to dbt will find everything they need to get started (and badged!) in our dbt Learn Fundamentals course, while seasoned users can go deeper on topics like macros, materializations, and project refactoring.
Read article
Your code doesn't have to do the same thing everywhere it runs. Separate code from configuration - and set config based on context.
Read article
Choosing between continuous delivery and continuous deployment based on business needs
Read article
It's finally (almost) here. The best way to get ready is by upgrading *now* to the latest & greatest that dbt Core has to offer
Read article
With the DAG-in-the-IDE (now available to all dbt Cloud users), analytics engineers can seamlessly navigate the core structure of their dbt project with low friction and low cognitive load, making the entire development process more intuitive, pleasant, and efficient.
Read article
Give your business teams access to transformed data in the tools they use every day. Hightouch now integrates with dbt to help you bring âReverse ETLâ to your stack.
Read article
Our friends at Materialize, the worldâs first SQL-platform for processing streaming data, have officially launched a new dbt adapter, now available in open beta. Together, weâre opening the door for analysts to become first-class creators and users of streaming analytics.
Read article
This SQL-first integration with Databricks means that analysts can build fully automated data pipelines in the same space that data engineers & data scientists work in their preferred frameworks.
Read article
Staging is a âšnewâš quarterly event that brings dbt users (thatâs you!) into the product development lifecycle (where I spend my days đ ).
Read article
Spark for analytics, for real: now in dbt Cloud
Read article
June 11, 2021 update â This post hasnât aged as well as I wouldâve hoped. George makes a strong statement in it: âFivetran is not fundamentally a company that is focused on data transformation.â That statement appears to be less true today than it was in October of 2020. In a recent conversation, George indicated to me that data transformation had become a core part of the Fivetran strategy. And as the company moves towards the GA release of Fivetran Transformations, itâs become increasingly hard for the two companies to continue what was once an extremely close commercial relationship.
While we continue to be excited about Fivetranâs adoption of dbt as a standard for data transformation, the relationship between the two companies is a bit more like the relationship between Snowflake and AWS: sometimes allies, sometimes competitors. And thatâs okâthese kinds of evolutions happen in fast-moving markets like the one weâre in.
We continue to have a lot of respect for Fivetran (and use their data ingestion product internally!). Many Fivetran employees make fantastic contributions to the dbt Community and the company is working on some tooling contributions that it hopes to release as open source software soon. All of this is fantastic.
As the ecosystem evolves, I do want to be extremely clear about our own stance: we believe that dbt Cloud is by far the most robust tool on the market for both authoring and productionizing dbt workloads. And as we continue to ramp our product and engineering velocity that gap will only increase. This shouldnât be surprisingâweâve been working on this problem for five years now and itâs been our sole focus that entire time. It will continue to be our sole focus moving forwards.
Two amazing companies in the modern data stackâFivetran and Censusâhave launched major integrations with dbt. Here's why I'm excited about this.
Read article
dbt v0.14.0 lays the foundation for dbt Develop -- a query editor which leverages the brand new dbt server.
Read article
We just finished hosting the first dbt Learn. Here's why we did it, what we learned, and how you can get on board for the next one.
Read article
The Fishtown Analytics team is incredibly excited to announce that weâve re-launched Sinter as dbt Cloud!
Read article
In dbtâs latest release, we made some significant changes to how dbt processes these DAGs, and weâre seeing that these changes make dbt projects run about 30% faster.
Read article
The hardest thing about scaling a company is communication. Here's how our latest release will make data communication just a little bit easier.
Read article
The newest release of dbt, v0.11, ships with a built-in data documentation website for your dbt project.
Read article
