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Riding the Apache Iceberg Wave in Bangalore 🚀

Highlights from the Apache Iceberg Meetup by Olake

Published
•1 min read
Riding the Apache Iceberg Wave in Bangalore 🚀
H

Final Year CSE student Full Stack Web Developer on journey for devsecops. Core founding member of ACM_RIT Student Chapter. Head of IT in UX Club RIT. And will continue for it............

On Saturday, 20th December, I had the opportunity to attend an Apache Iceberg Meetup organized by Olake in Bangalore, hosted at the Cloudera Office. The session ran from 1:00 PM to 4:30 PM, and it turned out to be a genuinely insightful deep dive into modern data systems and the evolving lakehouse ecosystem.

This meetup wasn’t just about theory—it helped connect the dots between databases, data lakes, and real-world production systems in a way that’s often missing from online tutorials.

Why Apache Iceberg Matters Today

If you’ve worked with data lakes, you’ve probably faced issues like:

  • Unreliable schema changes

  • Broken tables after partial writes

  • Difficulty managing historical data

The session focused on:

  • What’s new and upcoming in Apache Iceberg

  • Real-world lakehouse and Iceberg use cases

  • Practical lessons from teams running Iceberg in production

The talks clearly explained how Iceberg brings database-like reliability (ACID, schema evolution, time travel) to data lakes, and why it’s becoming a core part of modern data architectures.

Overall, it was a concise, insightful event with strong real-world context and great community interaction.
If you’re exploring modern data systems, Iceberg is definitely worth learning.

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