1. Sqlmesh delivers 22x faster data transformation and 10x cost savings vs dbt Core™ on Snowflake.
Experience lightning-fast transformations with Sqlmesh, 22x speed improvements and 10x lower Snowflake spend vs dbt Core™.
SQLMesh achieves 22x faster execution and 10x lower Snowflake costs, not through tweaks, but through architectural reinvention. Virtual environments eliminate wasteful rebuilds. Column-level lineage prevents cascade updates. State-aware deployments reuse computation instead of repeating it. over $1M saved annually and 311 hours of dev time reclaimed each month.
2. "Michael, dlt, and the art of unbreakable API pipelines."
Building unbreakable API pipelines with Michael and dlt.
Michael Shoemaker shows how to build API pipelines that survive change, automatically. Using dlt, BigQuery, and Cloud Functions, he creates a zero-touch setup that handles new fields, schema shifts, and daily runs without manual fixes or duct tape.
https://dlthub.com/blog/michael-dlt-tutorials
3. A practitioner’s guide to LLM-native pipeline building with dltHub workspace.
LLM pipelines made easy with dltHub workspace.
Data engineering is shifting, from manual coding to AI-assisted assembly. This piece introduces LLM-native scaffolds in dltHub Workspace: structured, reusable blueprints that let language models generate reliable pipelines in minutes. Human judgment ensures accuracy, while the framework handles the complexity.
https://dlthub.com/blog/practitioners-guide-dlthub-workspace
4. You're doing quarterly planning wrong
Rethinking quarterly planning
Quarterly planning doesn’t need to be perfect, just useful. This post shares hard-earned insights from coordinating 26+ teams, why async prep beats long meetings, how to focus on what actually ships, and why true ownership belongs with engineers.
https://posthog.com/newsletter/quarterly-planning-mistakes
Note: I have provided links for informational purposes and do not suggest endorsement to you. All views expressed in this newsletter are my own and do not represent current, former, or future employer” opinions.
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