Datafold Open Source Development Testing with data-diff

Establish A Single Source Of Truth For Your Data Consumers With A Semantic LayerПодробнее

Datafold Demo Day - Feb 28th, 2024Подробнее

Datafold's Virtual Hands on Lab 1/11/24: Getting started with open source data-diffПодробнее

Identifying novel data issues that go undetected through CI/CD with dbt and Datafold - Coalesce 2023Подробнее

MDS Chat w/ Matt #4 - DatafoldПодробнее

Datafold Cloud Demo Day - Sept 7, 2023Подробнее

Datafold's Cloud Demo Day: August 17, 2023Подробнее

Datafold's Virtual Hands-on Lab #5: explore automated dbt testing with open source data-diffПодробнее

Datafold's Virtual Lab: Automate dbt testing with open-source data-diffПодробнее

Datafold's Virtual Hands-on Lab: explore automated dbt testing with open source data-diffПодробнее

Datafold's Virtual Hands-on Lab: pip install data diff with the dbt integrationПодробнее

Datafold's Virtual Hands-on Lab: Open-source data-diff integration with dbtПодробнее

Compare dbt model output between PROD & DEVПодробнее

Data Quality Meetup #8: dbt + data-diff by Will Sweet at DatafoldПодробнее

Data Quality Meetup #8: Full RecordingПодробнее

Using data diff to compare data between Prod and PR schemasПодробнее

A Novel Approach to Data Quality for the Modern Data Stack | Datafold’s Gleb MezhanskiyПодробнее

Open Source data-diff DemoПодробнее

Automating data testing with dbt & Datafold DiffПодробнее