Patrick McFadin

Open source has already taken every infrastructure layer below the query. Operating systems, web servers, orchestration, and the transactional database all followed the same path: a neutral interface appeared, the layer commoditized, and value moved up the stack.

Apache Cassandra's unmatched scalability, performance, and resilience have made it a cornerstone for mission-critical applications. But what does the next decade look like?

In the quickly evolving landscape of data engineering, traditional text-to-SQL methods often need help with non-deterministic outputs and potential errors. In this session, Patrick will explore an alternative approach: leveraging Large Language Model (LLM) tooling for direct and reliable database interactions.

Registration link: https://lu.ma/htnkfr6h In this cutting-edge workshop, participants will embark on a transformative journey into the world of Vector Search, exploring two compelling applications: Retrieval-Augmented Generation (RAG) for AI chatbots and Image Search using Contrastive Language-Image Pretraining (CLIP).

Cassandra has established itself as the database of choice for high-scale, resilient, globally available data applications for more than ten years. All this is available with the tradeoff of working with eventually consistent data models.