Realtime is coming. Whether you’re ready or not, realtime analytics will soon become the cost of entry just to compete - in every industry.
Nearly every business first tries to build realtime data products with the tools and data pipelines they already have. But the problem is that data lakes, data warehouses, and transactional databases weren’t built for realtime, and trying to adapt them towards such an end is both expensive and slow.
In this short breakfast session, you’ll hear from business leaders who have guided their teams through realtime development - and built products (like in-app dashboards and customer personalization) that can keep up in realtime. This is your chance to learn from their experience and get a head start on your own realtime development.
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 realtime 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 in realtime. 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.