As you try to build products on top of streaming data, you’ll find that your “modern data stack” might already be out of date. Put simply, data lakes, data warehouses, and transactional databases weren’t built to pass GB/s of data to high-concurrency, low-latency APIs. It’s hard enough already to build productive, agile development teams on top of monolithic analytical data infrastructures. What’s going to happen when you turn the data knob to 11?
In this short breakfast session, you’ll hear from business leaders who have built data products on top of streaming data. They’re serving customers analytical dashboards in-app, personalizing their product experiences, and gaining operational intelligence from events data being created right now. Each of them is processing GB to PB of data and yet building highly performant apps on top. This is your chance to learn from their experience and get a head start on building responsive applications on streaming data - without worrying about infrastructure & maintenance.
Every day, The Hotels Network captures every online event in each visitor’s journey for more than 10,000 hotel websites operating across more than 100 countries. We use predictive personalization to offer each guest a unique browsing experience in order to engage them, delight them, and - most importantly - get them to book. I will share the tech stack and processes that have allowed us to process millions of visitors and tens of thousands hotels' data to deliver truly 1:1 customisation at scale.
How can you extract hundreds of queries per second out of each CPU core? It all starts with the basics. I will share the fundamentals of SQL query definition for scalability, and how that leads to proper data architecture and organization.
Financial transactions, social media posts ,and even information from IoT devices are all happening instantly. Companies that can harness this data to make more informed and timely decisions will have a competitive advantage. I will show you the ideal architecture of a modern streaming data platform, built with reliability and operational simplicity at its core.
Keyrock works with more than 85 of the biggest crypto marketplaces in the world to improve liquidity and enable both institutions and traders to execute trades and investments. I’ll show you how we use gRPC streams, Rust microservices and Tinybird to ingest and aggregate data from 400+ crypto markets to power our realtime monitoring platform.