Tales at Scale

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 making to building trust with customers. Gwen discusses her approach to modern SaaS platforms and how to reach the ultimate goal of bringing the right data to the right person at the right time.

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 users working with? What are companies doing with Druid?  Listen to hear real-life examples of where Druid works best: Operational visibility at scale, customer-facing analytics, rapid-drill down exploration and real-time decisioning.

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.