Tobiko Articles

1. SQLMesh for dbt Users - Part 1

   Are you using dbt and have heard of SQLMesh, but aren't quite sure what it is? This post will teach you the basics of SQLMesh from a dbt user's perspective to help get you up to speed.

2. We Need Even Greater Expectations When Testing Data

   Although companies heavily rely on SQL / data pipelines to power applications and make decisions, testing is usually an afterthought. However, systematic testing of data is critical to creating trustworthy and reliable pipelines. This post highlights the three categories of tests for data: unit tests, table diffs, and audits.

3. Simplicity or Efficiency: How dbt Makes You Choose

   Comparing development experience and runtime efficiency of dbt and SQLMesh.

4. Semantic Understanding of SQL

   Exploring what semantic understanding is and how it helps improve user experience when using SQL.

5. Automatically detecting breaking changes in SQL queries

   Categorizing changes in SQL queries to automatically establish data contracts between producers and consumers.

6. The False Promise of dbt Contracts

   Creating highly efficient and scalable development environments for data.

7. Virtual Data Environments

   Creating highly efficient and scalable development environments for data.

8. SQLMesh: The future of DataOps

   We are excited to share SQLMesh, an open-source DataOps framework that brings the benefits of DevOps to data teams.

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