In this article you will learn what drives BigQuery costs and I will show a SaaS solution that can help you analyze the costs instantly! Working as a consultant I have had the opportunity to work with several clients that are using Google BigQuery. What all of the clients have…

Gitlab (late 2022) is relatively new to workload identity federation, and there are not many good templates or guides out there. The official guides explain how to set up the federation pool and authenticate with it, but not really how to use this in an enterprise pipeline. A basic…

There is always one thing that everyone will tell you if you start the path of a data driven project: You will spend most of your time dealing with data quality issues. This is especially true when dealing with data collected from legacy or ad hook systems. You will suffer…

Traditionally, building a data warehouse requires massive capital investments in infrastructure, tools and licenses to get insight to your data. As they live and grow, these solutions often have a tendency to become time-consuming to maintain and complex or slow to change in response to new business needs. BigQuery is…

Sometimes you just want data from your source into your analytical tool and start doing experiments. I have created a tool that can help you in this kind of prototyping. A common way to integrate SQL server and BigQuery the lazy way is to: Export table to disk upload CSV…

In this post I will go through best practises on using the KubernetesPodOperator with examples. I will share dags and terraform scripts so it should be easy to test it out for yourself. Quite a few of the questions I get when talking about Cloud Composer is how to use…

Background In previous posts (scheduling jobs #1, scheduling jobs #2)I have been writing about how to do workflow scheduling using GCPs Cloud Composer (airflow). Something that has been bugging me about Cloud Composer is the steep price (380$ / month minimum!). For small clusters and small amount of jobs, the spend…

Today I had an interesting case from one of our customers. They are running a decent sized composer cluster with 4 n2-highmem-2 machines, with an additional node pool to run data-science jobs spawned with Pod Operator (with even beefier machines). Most of the jobs are extract/load jobs from various databases…

Today I was at a customer helping them to optimize their Cloud Composer setup. Cloud Composer is a managed Airflow installation, a job orchestration tool that runs on Kubernetes, made by Airbnb. I had previously advised the customer to use Cloud Composer to only run Docker containers (KubernetesPodOperator), as that…