Author name: John

platform scoring and player rankings in fantasy football

Platform Scoring and Player Rankings in Fantasy Football

Not all fantasy football leagues are equal. Scoring system differences across ESPN, Yahoo, and Sleeper impact player rankings and strategy. This post breaks down key scoring variations and analyzes how they affect player performance. I explored these differences in the dbt Fantasy Football Data Modeling Challenge, hosted by Paradime.io and Lightdash. This submission placed second […]

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uniting teams

Uniting Teams with Lightdash & Google Sheets Data Integration

Data silos are the silent killers of collaboration. They slow down decisions, frustrate teams, and leave stakeholders in the dark. Marketing can’t find campaign performance data, finance is stuck chasing budget figures, and product managers are left guessing about user engagement. Lightdash’s Google Sheets data integration flips the script. It connects your teams with a

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Data documentation in Lightdash

Data Documentation in Lightdash

Organizing a business intelligence stack goes beyond pipelines and dashboards. It requires clear, accessible documentation. Tools like Lightdash, integrated with DBT, make this possible by combining robust ETL processes with a documented semantic layer. This ensures your data is understandable and actionable. In this post, we explore the concept of a semantic layer, its role

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Self-Hosting Lightdash Guide

Self-Hosting Lightdash Guide: Step-by-Step Setup

Lightdash is an open-source analytics platform licensed under MIT, designed for teams looking to provide self-service reporting to their organization. Positioning itself as an open-source alternative to Looker, Lightdash allows users to explore, visualize, and report on data without advanced technical knowledge. It’s especially popular for modern data environments due to its direct database connectivity

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Moving fro centralized to self-serve analytics

Moving from Centralized to Self-Serve Analytics

As businesses increasingly rely on data to drive decisions, the need for scalable and efficient analytics processes has become critical. Traditional centralized analytics teams, while effective in certain scenarios, often introduce bottlenecks that slow decision-making and stifle innovation. As a result, the shift to self-serve, decentralized analytics is transforming how organizations of all sizes leverage

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Lightdash vs looker

Lightdash vs. Looker: A Comprehensive Guide

Lightdash and Looker are two popular business intelligence (BI) platforms designed to empower analytics teams and small to medium-sized businesses to extract valuable insights from their data. Both platforms emphasize self-service capabilities, allowing non-technical users to build reports, create dashboards, and schedule the sending of CSVs, charts, and tables. This self-service approach is particularly beneficial

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