Truecaller, GetInData and Google’s contribution to Big Data Tech Warsaw Summit
GetInData, Google and Truecaller participate in the Big Data Tech Warsaw Summit 2019. It’s already less than two weeks to the 5th edition of Big Data…
Read moreIf you’re in the data world, you already know dbt (data build tool) is the real deal for transforming raw data into something actionable. It’s the go-to for modern data teams who want to streamline workflows and create clean, consistent analytics pipelines. But let’s be real—getting the most out of dbt takes more than just knowing the basics.
That’s why I’ve rounded up 3 killer blogs that break down everything from data modeling tips to the power of dbt’s semantic layer. Whether you’re a data pro or just dabbling in analytics, these blogs are packed with actionable insights to take your projects to the next level. Let’s dive in!
If you’ve ever wondered when to use Looker’s PDTs vs. dbt models, this blog is for you. It’s like having a cheat sheet for figuring out how these two tools fit into your analytics setup.
Here’s what you’ll get:
If you’re trying to modernize your analytics stack, this is a must-read.
Let’s talk about the dbt semantic layer—aka the secret weapon for keeping your metrics consistent across tools. This blog is your ultimate guide to understanding how it works and why it’s such a game-changer.
Here’s what’s inside:
If you’re tired of fighting over definitions or debugging inconsistent metrics, this is the blog for you.
Read the blog
If you’re ready to get technical, this blog shows you how to actually deploy dbt semantic layers and make them work in the real world. It’s loaded with tips for scaling and integrating with other tools like Looker or Tableau.
Here’s what stands out:
This one’s perfect if you’re building out a bigger analytics system or want to future-proof your workflows.
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