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πŸŽ€ data as Jupyter on Kaggle πŸ“Š

❔ About

Domaines names management is a crucial part of IT services, availability and can have a huge impact on:

  • πŸ“ Service Level Agreements
  • πŸ’° Revenues (transaction, ads,...)
  • 🌟 e-reputation

... and especially during the end-of-year period where a lot of transactions have to be handled on schedule.

With this short demo, you'll see how, thanks to a public API we can efficiently:

  • 1️⃣ Get data all together at scale
  • 2️⃣ Explore data in an unprecedented way
  • 3️⃣ Build efficient yet simple reports to avoid domain name expiration at scale
  • 4️⃣ Export data efficiently (and import them in third party tools)

πŸ‘‰ To achieve this, the storytelling will rely and explain how to use the following datascience stack:

  • csv (becauase...of course❣️)
  • Duckdb so we can make OLAP like queries on the data
  • Jupyter Notebook on Kaggle
  • tad (A Tabular Data Viewer)
  • Seaborn

🍿 Demo time

πŸ”– Resources

πŸ”™ Talanoa 2022

πŸ“œ Talanoa 2022: The Power of Data Visualization 🏝️ Pacific Data Hub - YouTube

πŸ§‘β€πŸ€β€πŸ§‘ About "Talanoa":"Figurately we use Talanoa as a platform for enabling conversation and inclusive dialog. [...]The Talanoa provides a safe place to m...


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