Vineesh S

Automating Pipeline Deployment Utilizing Cloud Build For Increased Efficiency

In this demo video, we explain the steps to include the CI/CD feature in the DBT deployment using the Cloud Build. We discuss the directions for setting up the various tools required like, adding the project to the Github trigger for the build, configuring the YAML file, testing the model, and monitoring the project for errors. …

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Automating Pipeline Deployment Utilizing Cloud Build

Making scalability easier by running DBT in serverless containers on Google Cloud

In this demo video, we provide step-by-step guidance to deploy and run the DBT project in a serverless environment using Google Cloud. We explain the different steps to be followed for creating DOCKERFILE, creating script files to run DBT commands, building the image, deploying in Cloud Run, and verifying the transformations in BigQuery. We also discuss …

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Run DBT in Serverless Containers on Google Cloud

An Overview of DBT

In this demo, we will explain the installation of the DBT in your local machine. We will establish a connection with BigQuery using DBT. We also discuss the various materialization techniques, provide a step-by-step guide to SQL transformations using macros and Jinja. These SQL transformations result in a single query which can run in BigQuery.
An Overview of DBT