3 min read

Learn dbt Data Modeling: 3 Expert Blogs You Shouldn’t Miss

If 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!

1. Data Modeling in Looker: PDTs vs. dbt

Read the blog

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:

  • Side-by-Side Comparisons: Learn where PDTs shine and when dbt takes the lead.
  • Workflow Wins: Discover how combining Looker and dbt can make your life easier.
  • Case Studies: See real examples of companies switching to dbt for scalable, reliable data models.

If you’re trying to modernize your analytics stack, this is a must-read.

2. dbt Semantic Layer: What It Is and How to Use It

Read the blog

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:

  • Semantic Layer 101: What it is, why it matters, and how it keeps your analytics squeaky clean.
  • Use Cases You Can Steal: Examples of how businesses are crushing it with dbt’s semantic layer.
  • Hands-On Tutorial: A step-by-step guide to setting up the semantic layer in your own pipeline.

If you’re tired of fighting over definitions or debugging inconsistent metrics, this is the blog for you.

3. Deploying dbt Semantic Layers: Real-World Examples

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:

  • Metric Management Made Easy: How to stay on top of all your data definitions.
  • Integration Tips: How dbt plays nice with other analytics tools you’re already using.
  • Scalability Secrets: Pro tips for keeping things running smoothly as your data grows.

This one’s perfect if you’re building out a bigger analytics system or want to future-proof your workflows.


Don’t Get Left Behind in the Data Game

The world of data is moving fast, and dbt is one of the tools that’s defining the future. Subscribe to our newsletter to stay ahead with tutorials, tips, and the latest trends in data transformation.

Got specific questions or need some advice? Book a consultation with our experts and let’s figure out how dbt can take your data projects to the next level. Let’s make it happen!

looker
dbt
data modelling
dbt semantic layer
31 January 2025

Want more? Check our articles

deploying serverless mlflow google cloud platform using cloud run machine learning getindata notext
Tutorial

Deploying serverless MLFlow on Google Cloud Platform using Cloud Run

At GetInData, we build elastic MLOps platforms to fit our customer’s needs. One of the key functionalities of the MLOps platform is the ability to…

Read more
1sK7ModpT4v02ujZ379Samg
Tech News

Celebrating GetinData’s Inclusion on Clutch’s Lists of Top Big Data and IoT Companies!

Founded by former Spotify data engineers in 2014, GetInData consists of a team of experienced and passionate Big Data veterans with proven track of…

Read more
8e8a6167
Big Data Event

A Review of the Presentations at the DataMass Gdańsk Summit 2022

The 4th edition of DataMass, and the first one we have had the pleasure of co-organizing, is behind us. We would like to thank all the speakers for…

Read more
getindata cover nifi ingestion nologo
Tutorial

Apache NiFi - why do data engineers love it and hate it at the same time? Blog Series Introduction

Learning new technologies is like falling in love. At the beginning, you enjoy it totally and it is like wearing pink glasses that prevent you from…

Read more
getindator design a vibrant and engaging scene showcasing real  76ab8269 a013 4120 b722 f95e879d333c
Tutorial

Stream enrichment with Flink SQL

In today's world, real-time data processing is essential for businesses that want to remain competitive and responsive. The ability to obtain results…

Read more
ml getindataobszar roboczy 1
Use-cases/Project

Real-time Machine Learning: considerations based on Fraud Detection use case

When it comes to machine learning, most products are designed to work in batches, meaning they process data at fixed intervals rather than in real…

Read more

Contact us

Interested in our solutions?
Contact us!

Together, we will select the best Big Data solutions for your organization and build a project that will have a real impact on your organization.


What did you find most impressive about GetInData?

They did a very good job in finding people that fitted in Acast both technically as well as culturally.
Type the form or send a e-mail: hello@getindata.com
The administrator of your personal data is GetInData Poland Sp. z o.o. with its registered seat in Warsaw (02-508), 39/20 Pulawska St. Your data is processed for the purpose of provision of electronic services in accordance with the Terms & Conditions. For more information on personal data processing and your rights please see Privacy Policy.

By submitting this form, you agree to our Terms & Conditions and Privacy Policy