Thomas Mahaffey

Learn how a Streamhouse data architecture powers agents, applications, and lakehouses with the always current state of your business. We'll dive into real-world examples from Together AI, Accenture, and Indeed, along with demos and new product launches that leave you with a practical approach to solving the toughest data challenges.

In the rapidly evolving landscape of data-driven enterprises, the ability to harness and process vast amounts of information in real-time is paramount. This talk will revisit the concept of the Data Supply Chain, a framework that enables AI at an enterprise scale, and explore cutting-edge technologies that are transforming data streaming and processing capabilities. Building on insights from last year's presentation (https://www.youtube.com/watch?v=Zp86b_eaW8g), we will delve into the use of Apache Flink for stream processing, providing a foundation for real-time decision-making and AI applications. We will introduce Tableflow, a tool for Kafka-to-Iceberg materialization. This integration enhances data accessibility, ensuring that data is readily available for analytics and AI workloads. The talk will also highlight the role of Starburst Trino in enabling real-time analytics and agentic workloads over Iceberg tables. By leveraging Trino's powerful uniform data access layer (query engine), enterprises can perform complex analytics on large datasets with unprecedented speed and efficiency. This capability is crucial for organizations aiming to derive actionable insights and drive…