Category «Data Architecture»

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 They are also, as of this year, out of date: the ground under dbt moved in 2026, and the honest answer to “which should we use” has changed with it.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. …

Adobe CJA vs Adobe Analytics: What Actually Differs

If you have used Adobe Analytics for years, Customer Journey Analytics looks superficially like the same product with a different logo on the login screen. Analysis Workspace is there, freeform tables work the way you expect, segments look familiar. That resemblance is misleading, and treating CJA as “Adobe Analytics, refreshed” is the single most common …

Server-Side GTM on Google Cloud: An End-to-End Setup Guide

Most guides to server-side Google Tag Manager stop at “click the auto-provision button”. That button is fine for a proof of concept and wrong for production: it spins up a GCP project you do not control, in a region you did not choose, with defaults that will quietly cost you money and lose you data. …

Kerzner

Kerzner – Luxury Hospitality Streamlined Data Warehousing on BigQuery “We needed a scalable way to unify all our marketing data and turn it into actionable insights.” THE CHALLENGE Kerzner manages large volumes of marketing data from GA4, Salesforce, Sitecore and multiple media platforms. Each source operates in isolation, making it difficult for marketing teams to …

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.

Data Modeling & Data Architecture – two sides of the same coin?

Data Modeling & Data Architecture featured

Data architecture and data modeling are two interrelated and intertwined concepts which often overlap. Building an efficient, high-performing, and seamless data infrastructure requires consideration of both. In this post, we will explore the two different concepts and explain how they impact a business’ data strategy and its stakeholders.

Mercell

Mercell – procurement Data Infrastructure implementation for an e-tendering platform “We aim to be the preferred e-tendering and procurement platform in Europe” THE CHALLENGE Mercell wanted to get a better understanding of the usage and performance of their range of product offerings in their procurement and e-tendering platform. Their aim was to improve the overall …

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