Home of the Grai.io Blog

Sign in Subscribe

Automating Data Lineage with Metabase

💡Note: this guide was written as of Metabase v0.46. If you find anything no longer working please let us know in the comments or at hello@grai.io Connecting the data used by data consumers in the business or analytics end of an organization is often one of the

Extracting Data Lineage from BigQuery Logs: A Guide

Extracting Data Lineage from BigQuery Logs: A Guide

Extracting data lineage from a data warehouse like BigQuery can be complicated because unlike traditional relational databases we rarely have foreign keys or database constraints to fall back upon. Complicating the picture even further, common data workflows like ELT (Extract, Load, Transform) incentivize users to duplicate data making it difficult

Enhancing dbt Tests

Grai allows many pipeline tests, including those defined in dbt, to be run anywhere else in the data stack. This feature allows us to validate that changes to upstream data assets, like your production database, won't break data pipelines, BI dashboards, or APIs all as part of a

Fivetran, Data Lineage, and you.

Seize the Grai Featured

Fivetran, Data Lineage, and you.

Introduction Since its founding in 2012, Fivetran has formed a core component of the data stack for many organizations. This is especially true for data teams who have adopted ELT architectures in which source data is copied directly into a warehouse before performing transformations. In addition to its great connectors,

Grai: A Comprehensive Guide to Data Lineage in your Data Stack

Grai: A Comprehensive Guide to Data Lineage in your Data Stack

Grai is a robust data lineage solution designed to aid in managing your data stack. This blog post guides you through configuring Grai for a data stack using DBT, Snowflake, Fivetran, and Postgres, and demonstrates how to validate data changes in your version control system to prevent outages rather than

Production Database Changes You Should Fear the Most

Production Database Changes You Should Fear the Most

As data engineers, we all know that production database changes can be a bit of a headache. Whether it's a schema change, a column type change, or a column name change, it can feel like we're always playing catch-up with the rest of the organization. But

Grai is in Y Combinator!

Grai is in Y Combinator!

Quick update, Grai was admitted to the S22 batch of Y-Combinator. We are so excited to be part of this amazing community and can't wait to share more soon.