analytics Archives

Bringing CI/CD Best Practices into Modern BI Workflows

In the world of software development, Continuous Integration and Continuous Deployment (CI/CD) have become essential pillars of delivering high-quality, reliable software quickly and safely. But as business intelligence (BI) and analytics evolve, it’s time for BI teams to adopt these same best practices to unlock faster insights, improved data quality, and more confidence in their […]

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How Storing Dashboards as Code Increases Trust in Your Data Team

Lightdash / John

I hate chasing down why that dashboard looks off. You hate chasing down why that dashboard looks off. It always starts the same way: a stakeholder pings with a screenshot, something looks broken, and you find yourself deep in someone else’s query trying to track down what changed, when, and why. Meanwhile, trust in your

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dbt Fusion: What It Means for Data Teams

Business Intelligence / John

With the release of dbt Fusion, dbt Labs has introduced a new engine that promises significant performance improvements and advanced capabilities over the familiar dbt Core. Fusion is more than just a technical upgrade: it represents a fundamental shift in how dbt is developed, distributed, and licensed. In this post, we break down the pros

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Avoiding Config Warnings while Updating Your dbt Project to v1.1

Business Intelligence / John

With the recent release of dbt 1.1, users may start to see warnings like this: Warning: while parsing model config: Ignore unexpected key “meta” dbt 1.1 introduces a subtle but important shift in how configuration properties are structured for sources, models, and other resources. What’s Changed? Historically, dbt allowed you to set properties like freshness,

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Validate dbt Changes Before Merging

Lightdash / John

Have you ever hit “merge” on a dbt pull request and just hope it doesn’t break everything downstream? Yeah, us too. That slight internal panic—“please don’t wreck any dashboards”—is all too familiar. Now there’s a much better way to avoid dashboard chaos: Preview Projects from GitHub Branches. This capability fundamentally changes how you can develop

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Metabase’s New Embedded Analytics SDK

Business Intelligence / John

Understanding Embedded Analytics Embedded analytics is the integration of analytical capabilities such as dashboards, visualizations, and reports directly into an application’s user interface. Instead of requiring users to navigate to a separate business intelligence (BI) tool, embedded analytics brings insights directly to where users are working, leading to more seamless decision-making and improved user experience.

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Embedded Analytics with Metabase

Business Intelligence / John

What is Embedded Analytics? Staring from the top, embedded analytics is the integration of data visualization and business intelligence (BI) capabilities directly within applications, websites, or portals. Instead of requiring users to switch to a separate BI tool, embedded analytics brings insights directly into the workflow, making data-driven decision-making more seamless and efficient. Why Use

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