1. December 14, 2023

    While building out my data lake, one helpful function I took advantage of was json_normalize. This helped me flatten out the responses from various API endpoints while creating my raw tables. Helping preserve the original object and key names when blending and processing the data down the line. The data I’m working has roughly this… Continue reading Flatten a JSON Object Quickly using json_normalize

    #python
  2. November 20, 2023

    I’ve always been passionate about sports, but I never went into the stats, eyeballing them week to week for fantasy, but I never really spent time analyzing the data as I would professionally. With the proliferation of sports gambling apps and websites supporting the industry, I thought I’d dive into the data, grade some professional… Continue reading Another Data Scraper

    #bigquery#data#gcp#python#sql
  3. August 08, 2023

    Using a strict set of standards when naming rules within Adobe Launch (or any TMS) for web and server-side event forwarding is an often overlooked detail when starting out with tag management systems. It only becomes a noticeable pain once it’s too late. If your TMS consists of only a dozen or so rules, then… Continue reading Use a Strict Naming Convention in Your TMS!

    #adobe analytics#adobe launch#google analytics#google tag manager#gtm
  4. July 22, 2023

    I’ve been a user of Adobe Analytics for the last decade and I don’t recall ever running into this issue previously. Recently I took over an implementation that spans a number of domains. The organization had moved from the ApiMeasurement implementation to Web SDK, and I took over soon after the they went live. We… Continue reading Adobe Analytics and Marketing Processing Rules

    #adobe analytics#marketing processing rules
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To learn something new, I've put together this site using Gatsby with WordPress and GraphQL, along with a server-side GTM configuration for a first party analytics ecosystem.

Aris

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