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A guide to closing the data-readiness gap, showing how leading companies fix foundational data issues to reliably scale analytics and AI.

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dbt Labs and Fivetran unite to power open data infrastructure

Discover how dbt Labs and Fivetran are building the foundation for trusted, AI-ready analytics.

Research

2025 State of Analytics Engineering Report

Uncover the latest trends shaping analytics engineering in 2025. From team structures to AI adoption, this report shares insights from 1,000+ data professionals to help you benchmark, adapt, and stay ahead.

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Explore dbt in action: Build for the next era of analytics

Discover how dbt pipelines, testing, and governance lay the foundation for trusted, AI-ready analytics in this 30-minute on-demand demo.

Infinity loop diagram illustrating the Analytics Development Lifecycle (ADLC), showing key stages from develop and test to deploy, plan, analyze, operate, observe, and discover.

Streamline your analytics workflow with ADLC

Building reliable, scalable analytics starts with a strong development process. Learn how the Analytics Development Lifecycle (ADLC) streamlines collaboration, ensures data quality, and accelerates insights—empowering your team to work smarter with dbt.

Data teams love dbt

Explore how dbt Labs has helped clients achieve better outcomes, increase efficiency, and grow their businesses.

AXS

AXS delivers business value with an analytics engineering workflow

dbt Cloud is great because it’s so approachable. You can log in on your browser, select a project, and start building models right away. You can build things with native SQL that you’d think were only possible with Python or a more object-oriented language. The SQL-first approach creates commonality among the tech teams, improving communication and collaboration.

Michael Colella, Senior Director of Data & Analytics

50%faster to deploy new models, using incremental models
10%faster troubleshooting, using lineage graph
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