SQLMesh is a next-generation data transformation framework designed to ship data quickly, efficiently, and without error. Data teams can efficiently run and deploy data transformations written in SQL or Python with visibility and control at any size.
Last Releases
- v0.209.0✨ Features Decouple forward-only from change categorization (#5110) @izeigerman 🪲 Bug fixes Do not initialize a state sync for sqlmesh clean (#5103) @VaggelisD 🧹 Chore Fix dbt incremental predicates test… Read more: v0.209.0
- v0.208.1🪲 Bug fixes Revert “Fix: Use merge when updating auto restatements (#5016)” (#5108) @vchan
- v0.208.0✨ Features Add ui package to keep sharable components and utils (#5089) @mykalmax 🪲 Bug fixes Make gateway names case-insesitive (#5092) @izeigerman Support Paren expressions in EACH, REDUCE, etc macros… Read more: v0.208.0
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Common Issues and Solutions for Installing SQLMesh Locally
Introduction: Installing SQLMesh locally can empower data engineers and developers by offering a flexible environment for testing and building data models. However, local installations can often come with setup challenges that delay progress. This article addresses some common issues encountered when installing SQLMesh locally, drawn from highly upvoted Stack Overflow posts, along with practical solutions…
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How to Install SQLMesh Locally: A Step-by-Step Guide
Introduction: Installing SQLMesh locally provides data engineers and developers with a controlled environment for testing, development, and offline work. A local installation enables users to experiment with SQLMesh’s features—such as its SQL-based transformation and model deployment tools—without affecting production environments. This guide will walk through SQLMesh’s local installation methods using Docker and several popular programming…
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SQLMesh: Streamlining Data Transformation with a Modern, Flexible ETL Tool
In the world of data management, efficient ETL tools are essential for enabling organizations to transform, load, and streamline the data crucial for business operations and analytics. SQLMesh stands out as a versatile and modern approach to SQL-based transformations. Designed with data engineers and analysts in mind, SQLMesh offers a structured way to build, test,…