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What's Your Databricks Aha! Moment?

RishabhTiwari07
Databricks Employee
Databricks Employee

What's Your Databricks Aha! Moment? 🌟

Whether you’re new to Databricks or a seasoned pro, there’s always that one moment when everything just clicked. Maybe it was when you nailed a tricky notebook, optimized a query, solved a big data challenge, or realized how collaboration can change the game.

We’d love to hear your Databricks Aha Moment! Share your story in the comments below and inspire others! Let’s celebrate those breakthroughs together. 🚀

2 REPLIES 2

__angel__
New Contributor III

One of my most impactful "Aha!" moments this year was discovering how Adaptive Query Execution (AQE) in Apache Spark can significantly improve performance.

This insight led me to write several articles on Medium, and one of the most important pieces is this one:

🔗 Apache Spark: WTF! I Love It When a Plan Comes Together (Part III)

I also had the opportunity to speak about this topic at the Spark Madrid Meetup. You can watch the talk here:

🎥 Madrid Spark Meetup – True Crime: Who killed that job?

¿Quieres asistir a este evento? Apúntete en el siguiente enlace: https://www.meetup.com/es-ES/madrid-apache-spark-meetup/events/307732828/ Saltamos el mes de mayo por los pelos, pero venimos bien preparados este mes con un doble Meetup centrado en la resolución de problemas y optimización con dos

__angel__
New Contributor III

Sorry, "improve performance" is not accurate — in fact, it can significantly degrade the performance of many Spark applications. It's a feature that's enabled by default in open-source Spark, so its impact isn't limited to Databricks.

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