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 […]
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,
Avoiding Config Warnings while Updating Your dbt Project to v1.1 Read More »
Lightdash now offers Custom Charts, enabling more advanced and customizable visualizations using the powerful Vega-Lite library. This unlocks the potential to go beyond standard chart types, letting you create visualizations like heatmaps, box plots, maps, and more. What is Vega-Lite? Vega-Lite is a high-level grammar of interactive graphics, built on top of the lower-level Vega
Creating Custom Charts in Lightdash with Vega-Lite Read More »
Metabase 54 just dropped, and it’s a big one. Many of the most impactful improvements are part of the open-source edition, meaning you get them automatically with your Driftwave-hosted instance. If you manage your own self-hosted instance, Metabase provides an upgrade guide here. Here’s what you can now do (or do better) with Metabase 54:
Metabase Adds Smarter Expressions and Table Upgrades Read More »
For growth-stage companies, data-driven decision-making is a critical pillar of success. As teams scale, they need fast, reliable, and flexible access to insights across the business. But many organizations find themselves trapped by the very tools they rely on to deliver those insights. This is the story of one such company and how they broke
A well-defined semantic layer is the foundation of effective business intelligence (BI). By ensuring consistent data definitions and organized metrics, you empower teams to extract insights with clarity and precision. While ‘semantic layer’ was a buzzword a few years back, this blog explores why a clear semantic layer is still critical and how to implement
Why a Clear Semantic Layer is Essential for Analytics Read More »
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
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.
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
Analytics teams often struggle to keep everyone aligned. Insights get stuck in dashboards, emails go unanswered, and decisions stall while people wait for data. Lightdash, an open-source analytics tool built for the modern data stack, changes that. Its Slack integration brings insights directly into your team’s conversations. Key Features of the Lightdash Slack Integration 1.
Boost Team Collaboration with Lightdash’s Slack Integration Read More »
