During his talk, Alex will discuss the value of moving from a batch-based architecture to a real-time, event-driven architecture with Apache Kafka®. He will then explain how you can build valuable data products with Confluent that unlock high-volume performance, data governance, and AI use cases. 

We’ve never had more data, and we’ve never had more immediate access to data thanks to the success of the Kafka protocol. But what use is data if you can’t process it quickly enough to make a difference? Or can’t handle the scale with which it’s being generated? Or can’t make robust ACID-grade decisions if the situation requires it? 

Volt Active Data is a real time decisioning platform that’s been around for a decade now, and plays a silent role in the lives of over a billion people every day. It’s used to run the prepaid mobile phone system for over 700 million end users, control millions of energy meters in Europe, and provide real time user analytics for over 500 million video game users worldwide. 

In this session we’ll show how Volt’s new Stream Processing component allows you to connect the most powerful information pipeline (Kafka) to the most powerful real time decision engine (Volt).

Why does this lead to value? The Kafka-verse is very good at telling us about disjoint events in the recent past, but is short of tools to turn all that raw data into a clear understanding of what’s happening right now. Volt is excellent at the kind of tasks you need to solve if you want to get to ‘right now’. Complex aggregations, joining streams of imperfectly related data, enrichment, filtering, routing and other aspects of ‘Data Plumbing’ are easy with Volt. Once you have a clear and robust view of ‘right now’ you can get Volt to make real time decisions, at scale and with 100% ACID consistency that allow you to make the most of your newfound understanding.

Volt is more than just a stream processing platform. It started out as a performant, scalable and 100% ACID in memory database before evolving into a real time decision engine. Now, thanks to our new Stream Processing module you can get Volt to operate at the scale of your business, with the response times needed for success and the reliability your customers and stockholders expect.

Some of the world's leading financial institutions use ClickHouse for real-time financial analytics use cases, including fraud detection, risk modeling, and stock price reporting. To demonstrate how ClickHouse delivers unparalleled performance and ease of use for financial analytics, we'll walk through ingesting live stock ticker data from a Kafka stream into ClickHouse to power a real-time web application.