I argued with myself for four hours putting this together.
The goal wasn't to pick my favorites, even though most of them are. It was to find the one album that instantly takes me back to that specific year.
Be careful when dealing with father + son duos with the same name.
I just realized I’ve been sending heinous Instagram posts to my best friend’s dad for over 3 years.
🎥 Who are the top directors, writers, and actors from the top 200 highest-grossing movies of all time?
💰 Which are the top money-making production companies?
🏆 Which films are the top "Razzies" winners (worst movies of all time)?
Just wrapped up @paradimelabs's Movie Data Modeling Challenge!
300+ participants used SQL & dbt to dig into movie industry insights and compete for a $1500 prize!
Check out my blog for the best insights.
https://t.co/dEsH4OKT7R
Here's the sneak peek 🧵
🎬 What are the all-time top ten movies by "combined success" (revenue, awards, Rotten Tomatoes rating, IMDb votes, etc.)?
📊 What is the age and gender distribution of leading actors and actresses? (This one is thought-provoking!)
The dbt™ Data Modeling Challenge - Movie Edition is LIVE!
And the submission deadline is May 26th.
This cringey video explains all the details… see video description to sign up!
https://t.co/SgpDoj1goT
From now - May 26th, data professional will utilize real, historical Movie and TV series data to craft SQL queries, develop dbt™ models, and derive insights, all for a chance to win a $1,500 Amazon gift card!
If you’re interested in participating or learning more, see link 👆🏼👆🏼
I just built a dataset containing historical data about movies and TV shows.
Seconds before publishing this dataset to the public, I discovered it had 100k+ rows of porn films.
Lesson: always doublecheck your work. ✅✅
@JohnKutay The role is so broad. Everybody I talk to is doing it different.
A lot of the time it’s just content marketing / lead gen disguised under a DevRel title.
I recently wrapped the "NBA Data Modeling Challenge" where 100+ participants used SQL + dbt to generate insights from... you guessed it... historical NBA Data.
In this blog, I highlighting some of my favorite, participant-generated insights!
https://t.co/BbuaWIE4mk
Insights include:
- How the 3-pointer has dramatically changed the NBA
- All-time most consistent playoff performers
- Top "shoulda won" MVP candidates
- Most clutch NBA players ever
- Highest paid NBA players (infl. adjusted)
- Most over/undervalued players in NBA history