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dbt Labs/dbt Blog

dbt Blog

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Apr 17, 2026

Google's agentic IDE is here, and paired with dbt, it might just give you your weekends back. Here's what you need to know.

What happens when you plug AI into a dbt project and let it do things? A practical guide to building your first dbt agent.

Apr 16, 2026

Two MCPs, one config file. Learn how pairing dbt and Tableau unlocks impact analysis, metric reconciliation, and more.

Apr 14, 2026

AI is accelerating data workflows, but governance and trust aren't keeping pace, according to a new dbt Labs report.

Apr 13, 2026

See how dbt + BigQuery powers trusted, AI-ready analytics. Visit Booth #6606 at Google Cloud Next, April 22–24 in Las Vegas.

Apr 9, 2026

A former head of analytics on the 6 mistakes he made with dbt—and what he'd do differently now.

Apr 3, 2026

Learn how to operationalize your analytics agents by building context for LLM models with dbt and MCP servers.

What happens to data work when AI changes everything? The hosts of The View on Data podcast share what's shifting and what isn't.

Mar 26, 2026

Building the future of analytics engineering, together.

Mar 19, 2026

Explore key data transformation types for ML, including cleaning, scaling, feature engineering, and validation.

Mar 18, 2026

Explore common data pipeline architecture patterns—from ETL and ELT to batch, streaming, and semantic layers.

Mar 17, 2026

Learn how a semantic layer gives AI systems the consistent, governed foundation they need.

Mar 16, 2026

Explore ETL vs ELT and how modern transformation tools power scalable data pipelines.

Mar 15, 2026

Anders Swanson explains what data teams can realistically expect when attempting to run on top of Iceberg in production.

Mar 13, 2026

Metadata management improves discovery, governance, performance, and trust in modern data systems.

Mar 12, 2026

ETL consolidates fragmented data, enforces quality, and satisfies compliance requirements modern organizations depend on.

Mar 11, 2026

NBIM cut runtimes 30–40% in 3 months with the dbt Fusion engine and State-Aware Orchestration—without heavy optimization.

Improve data quality with testing, metrics, automation, and a scalable governance framework.

Mar 10, 2026

ETL, ELT, batch, CDC, reverse ETL—learn the key data movement patterns and when to use each.

Mar 9, 2026

Learn how transformation methods improve data quality, consistency, and analysis at scale with dbt.

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Apr 17, 2026
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