🎀 Domaine.nc data as Jupyter on Kaggle 📊

❔ About

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

• 📝 Service Level Agreements
• 💰 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)

👉 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

🔖 Resources

• Kaggle Notebook

🔙 Talanoa 2022