This talk was recorded at Crunch Data Conference 2021. Neha Pawar from Startee spoke about realtime analytics, big data, user-facing analytics and personalization . When you hear "decision maker", it's natural to think, "C-suite", or "executive". But these days, we're all decision-makers. Restaurant owners, bloggers, big box shoppers, diners - we all have important decisions to make and need instant actionable insights. In order to provide these insights to end-users like us, businesses need access to fast, fresh analytics. Providing user-facing, personalized analytics to all end-users in a realtime, scalable and efficient way, is a hard problem. Apache Pinot solves this problem. Pinot is a distributed datastore purpose-built for ultra-low latency analytics even at extremely high throughput (think milliseconds latencies at tens of thousands of queries per second). In this talk, we will discuss user-facing analytics, and understand why this new & emerging category of analytics is so very challenging. We will peek into Apache Pinot's architecture, ingestion techniques, indexes, and other optimizations that help this system deliver blazing-fast real-time analytics. We'll learn about the interesting ways that companies - such as LinkedIn & Uber - added tremendous value to their products, by adopting Pinot to build rich user-facing analytics ecosystems for all their end-users.
The event was organized by Crafthub.
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