Tobiko Articles

1. Introducing WAP Pattern Support with Apache Iceberg

   SQLMesh now supports the Write-Audit-Publish pattern when model tables are stored in the Apache Iceberg format.

2. Why Data Teams Are Adopting Declarative Pipelines

   Explaining the surge in popularity of declarative data transformation while drawing some parallels with DevOps.

3. Our open source philosophy

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

4. Evolving Large Datasets with SQLMesh

   Learn about what SQLMesh has to offer when it comes to evolving really large datasets.

5. SQLMesh for dbt Users - Part 2

   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. Part 2 of 2.

6. Introducing SQLMesh’s Open Source CI/CD Bot

   Introduces the SQLMesh's open source CI/CD bot and how it can be used to automate the deployment of data pipelines.

7. 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.

8. 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.

9. Simplicity or Efficiency: How dbt Makes You Choose

   Comparing development experience and runtime efficiency of dbt and SQLMesh.

10. Semantic Understanding of SQL

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

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