Category «Data Engineering»

Level

Level Airbus A330-200 landing at Barcelona El Prat airport

Level – Commercial Aviation Centralizing GA4 Reporting with Supermetrics and BigQuery “Every step of our booking funnel is measured in sessions, so we needed session figures in BigQuery that agree with GA4 at every breakdown we report on.” THE CHALLENGE Level’s GA4 data already reached BigQuery through GA4’s native export, with reporting built directly on …

Dataform vs dbt: A Technical Comparison for 2026

Most Dataform versus dbt comparisons are a feature table and a shrug. They are also, as of this year, out of date: the ground under dbt moved in 2026, and the honest answer to “which should we use” has changed with it. This is a technical comparison for teams who have to actually pick one. …

Nettbil

Nettbil – Automotive Marketplace Modernizing Data Architecture with dbt and AWS Redshift “As our data grew year over year, we needed a scalable warehouse and a unified BI layer so every team could trust the same numbers.” THE CHALLENGE As Nettbil scaled, years of operational data accumulated, making it harder to extract holistic insights from …

Data Engineering and Data Science – Data’s Dynamic Duo

Data Engineering Featured

In this blog, we explore how data engineering supports data science and why it’s crucial for organizations to understand the interplay and importance of the the two disciplines working together to maximize the value of their data.

From Raw Data to Actionable Insights: Building an End-to-End Data Pipeline with Python and Apache Airflow

Data architecture Featured

In todays blog, we look at how Python and Apache Airflow can be two of our greatest allies when we are ensuring data pipeline quality.

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