Running 50 commands to generate base models? Writing the same transforms for the 100 times for your base models? This package will streamline this process for you.
We love dbt, and we use it for almost all of our consulting projects. There are so many cool pre-made packages in the dbt hub that dramatically improves your productivity. For example, Fivetran has created pre-made starter models for many common sources such as Hubspot, Salesforce, Google Ads, and Facebook Ads. Fishtown Analytics also created some great starters packages, such as dbt-utils, audit-helper, and code-gen.
Setup Airbyte, BigQuery, dbt, Metabase, and everything else you need to run a Modern Data Stack using Terraform.
A Modern Data Stack (MDS) is a stack of technologies that makes a modern data warehouse perform 10–10000x better than a legacy data warehouse. Ultimately, an MDS saves time, money, and effort. The four pillars of an MDS are a data connector, a cloud data warehouse, a data transformer, and a BI & data exploration tool.
The tale of a Data Analyst who evolves into an Analytics Engineer and resources so you can use to be like her.
Analytics Engineer is a new position coined (and made possible) by dbt. If a Data Engineer (DE) marries a Data Analyst (DA) and they have a baby girl, that baby girl will be an Analytics Engineer (AE). Well, it does not work that way, but you get the point.
Use Terraform to set up infrastructure-as-code for a Data Lake on Google Cloud Platform.
Back in the old days, dealing with physical infrastructure is a huge burden, which not only requires teams of experts to manage but also is time-consuming. In the modern cloud computing era, however, you can deploy hundreds of computers instantly to solve your problems with the click of a button. Well, to be realistic, most day to day problems that we are trying to solve won’t require that much computing power.
