Abstract

Analytics is changing. Once upon a time, an analytical query taking a few seconds to execute was considered acceptable. Additionally, the query would analyze smaller volumes of data that were loaded in batches. This may have been sufficient for internal dashboards but falls short for customer-facing applications. In today’s on-demand world, customers expect up-to-date insights and millisecond response times — expectations that traditional architectures simply can’t meet.

Originally developed at LinkedIn, Apache Pinot is built specifically to solve the hardest challenges in analytics: realtime, low latency, high throughput analytics.

In this session, we’ll introduce Apache Pinot, explore its architecture, and demonstrate how you can add real-time analytics directly into your applications — powering customer experiences that are fast, fresh, and scalable. Whether you’re building internal dashboards, or customer-facing analytics, Pinot makes real-time possible at scale.

Audience

1. Engineers
2. Managers
3. Architects

Takeaways

1. Understand why traditional analytics architectures fall short for customer-facing data products.
2. Learn how Apache Pinot delivers real-time performance.
3. Discover practical steps to integrate real-time analytics into your applications.

Slide Deck

Please click here for the slide deck.