Tales at Scale

How do ads work on the "front page of the internet?" On today's episode, staff software engineer at Reddit Lakshmi Ramasubramanian discusses Reddit's ad platform, including how it handles ad pacing, real-time data, and more. We'll dive into the challenges they needed to solve and why Apache Druid was the right database for the job.

Apache Druid today isn't the Druid that you're used to. It's so much more. The addition of the multi-stage query engine didn't just change the way Druid handles queries but enabled data and transformation on ingestion and inside of Druid from one table to another using SQL. This has made Druid about 40% faster. But why stop there? Get the inside scoop of what's coming to Druid this year, from cold...

The term "real time" gets thrown around a lot, especially when it comes to data. Gwen Shapira, co-founder and CPO of Nile joins us to help define real-time data, discuss who needs it (and who probably doesn't) and how to not build yourself into a corner with your architecture. When you're able to harness the power of real-time insights, you can do incredible things from simplifying daily decision...

On today's episode, we're joined by David Wang, VP of Product Marketing at Imply and Muthu Lalapet, Director of Worldwide Sales Engineering at Imply to dig into Apache Druid, a high performance, real-time analytics database. Thousands of companies are already using Druid today, from Netflix to Salesforce. But what is Apache Druid best used for? What types of projects? What data sets are Druid user...

On today's episode, we're digging into the origins of Apache Druid, a high-performance, real-time analytics database, and what makes it unique with Druid co-creator and Field CTO at Imply Eric Tschetter.

Tales at Scale cracks open the world of analytics projects. Hosted by Reena Leone from Imply, we'll be diving into Apache Druid but also hearing from folks in the data ecosystem tackling everything from architecture to open source, from scaling to streaming and everything in between.