All posts tagged with 'analytics engineering'
How we Use Dagster Automations in our Data Pipeline
Introduction The heart of a reliable data platform are robust and automated data pipelines. As our team migrates our data pipelines to Dagster, re-architecting our automation logic is a crucial task. Dagster offers condition-based approaches to creating or updating a data asset (table or file), moving us toward a modern, asset-centric view of data. This post details the three primary automation strategies we considered and implemented (so far) in Dagster—Schedules,… Continue reading
Creating re-usable descriptions in dbt with Jinja docs
If you're working with dbt and find yourself copying the same column descriptions across multiple models, this post is for you. We'll show you how to eliminate that repetition using the Jinja doc function! Continue reading
The 5 rules for migrating data pipelines successfully
This blog will help you to discover the 5 essential rules to navigate your large-scale data tooling transition smoothly and with minimum disruption. Continue reading
Introducing Analytics Engineering
Over the last few years we’ve evolved the way our analytics team works to enable easy access to accurate and reliable data for faster, better decision-making. Recently we made one more change—our Business Intelligence Analysts are now Analytics Engineers! Continue reading