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Real-Time Analytics Fundamentals
In this final post of the series, I’ll review key concepts from the Principios de analítica en tiempo real course, covering topics I missed in my previous posts.
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Tinybird's Core: ClickHouse
Tinybird is built around ClickHouse, a database designed for blazing-fast analytical queries on massive datasets. But why is it so fast? Let’s explore the core concepts that make ClickHouse the engine powering Tinybird.
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Tinybird for Real-World Analytics: Tracking My Resume
I’ve played with Tinybird examples and mock datasets, but hadn’t used it for a real project until now. Recently, I built a simple landing page resume using HTML, CSS, and vanilla JavaScript. I skipped Google Analytics due to the expected low traffic.
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Tinybird MCP
Today, I wanted to experiment with the Tinybird MCP. Since I didn’t have any workspaces with suitable data, I decided to create a new one using the iconic Titanic dataset from the Kaggle competition. My goal was to query this dataset using the MCP.
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Build Next js app with Tinybird
After my initial foray into Tinybird, I decided to continue exploring by building a Next.js app that consumes Tinybird endpoints. I based this project on the Build a data-intensive Next.js app with Tinybird and Cursor demo.
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My Tinybird Account
I’ve been a fan of Tinybird for a while, often reading their blog posts and watching demos. But I’d never actually used it. You can’t truly understand something until you try it yourself, so I decided to get my hands dirty and create my first Tinybird account.
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A Prompt Injection Experiment
I recently decided to apply for a position at Tinybird, a company I admire for its innovative work with software development, particularly their impressive AI integrations. Following several Tinybirdies on X and Bluesky, I felt inspired to throw my hat in the ring.
2025-07
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