You're right to be anxious about AI: This is how much we are building ·
Measuring the rate of software output growth in the AI era, across Show HN, GitHub, package registries, and research.
Data
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Data Ingestion Pipelines Without Headaches: 8 simple steps ·
Data, like wine and cheese, becomes more valuable when combined—and can give you serious headaches. Whether you're emailing Excel files or capturing IoT data, this post covers the 8 steps every ingestion pipeline needs: triggers, connections, state management, extraction, transformations, validation, loading, and retention. Plus the 3 overarching concerns that keep it running: monitoring, governance, and scalability.
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The 5 essential steps of a (web) analytics pipeline: collection, routing, ingestion, storage and visualisation ·
When we think of analytics we think of tools like Google Analytics, Mixpanel or even Tableau or PowerBI. But analytics is not just a tool. When we understand the mechanisms behind these tools we are ready to see what each of them brings to the table and how they might solve the problems for the unique snowflakes that we are.
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ITP 2.1: Why you won’t make your advertising targets, but will finally understand how cookies work ·
Last February, Apple introduced version 2.1 of their so-called Intelligent Tracking Prevention (ITP) causing major impact on a number of fields: A/B testing, analytics, affiliate marketing, conversion tracking and most importantly remarketing. The short version is you won’t be able to target Safari users after seven days. The long version takes us back to the internet in the ‘90s and makes you rethink the results of your online ad spend.
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A Visual Leviathan: Hobbes' Schizophrenic Writing ·
I have spent many hours of my life devoted to studying Thomas Hobbes' book Leviathan. It was published in 1651 and is considered a starting point of modern political philosophy. There is however a strange dichotomy between the first part of the book and the second part of the book. Read on to see how I've used data visualisation to show that difference.
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Too Much Information Syndrome (And A Cure) ·
Humans are built to distinguish signal from noise. We have a general ability to, in an instant, understand what is important and what is not. With more and more distraction and noise heading our way, we need the mental tools to do the heavy lifting for us. Read on to learn about three mental tool that not only help us better understand the world, but also help us make better data visualisations and presentations.
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Why business is out of sync with evolution ·
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TUTORIAL: In 3 stappen je data verbeelden met iconen ·
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Tutorial: In 4 stappen van data naar visuele impact ·
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Hoe ziet de inhoudsopgave van de toekomst er uit? ·