Tobiko Data Articles

1. Our open source philosophy

   How we're trying to build a trustworthy and thriving open source community.

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. Semantic Understanding of SQL

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

4. Automatically detecting breaking changes in SQL queries

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