How Fivetran and dbt Help With ELT
This post was co-written by Sam Hall and Dakota Kelley As the Modern Data Stack grows and matures, a large variety of tools begin to
What are dbt Macros?
dbt macros are similar to functions in programming languages like Python or Java. dbt uses macros in a templating language called Jinja to avoid repeated
The Ultimate Modern Data Stack Migration Guide
This guide was co-written by a team of data experts, including Dakota Kelley, Ahmad Aburia, Sam Hall, Katrina Menne, and Sunny Yan. Imagine a world
dbt and Sigma Integration
The modern data stack (MDS) has seen massive changes over the past few decades, fueled by technological advances and new platforms. As a result, we
How to Git Version Control dbt Cloud Jobs
This blog was co-written by Arnab Mondal & David Beyer. dbt has significantly changed the integrated developer environment and how we transform data with the
I Failed The Test So You Don’t Have To: dbt Analytics Engineering Certification
Yup, that’s me. The guy who failed the dbt Analytics Engineering Certification. You’re probably wondering how I got here. Honestly, it was mostly because I
How to Migrate from dbt Core to dbt Cloud: phData’s Simplified Approach
At phData, we’re starting to see a sharp increase in clients who are looking to migrate to dbt Cloud from dbt Core. This is due
How to Use dbt With Snowpark Python to Implement Sentiment Analysis
dbt is an exceptional tool to use in combination with the Snowflake Data Cloud to process data. Once data is loaded into Snowflake, it needs
How To Run dbt Models In a Centralized vs Decentralized Setup
How to Run dbt Models in Different dbt Project Structures Within any organizational structure, the most common decision that needs to be made is whether
How to Build a Python Model in dbt with Snowflake
With dbt Core v1.3, dbt has introduced the ability to build your models in Python for a very select few data warehouses including the Snowflake