Herding Cat(alogue)s: The Apache Iceberg™ Catalog Landscape
Apache Iceberg™ relies on catalogs, but with many options available, choosing the right one is challenging. This session explores the Iceberg catalog landscape, covering core functions, the impact of REST catalogs, and comparisons of Hive, JDBC, Snowflake, and Apache Polaris™ to help you select the best fit for your needs.
Search is Back: Solving the “Context Crisis” for AI Agents
Why do smart agents make dumb mistakes? The culprit is context, an old problem with new solutions. Let’s fast-forward through 20 years of search evolution to fix the missing link in today’s Agentic AI.
We’ll demonstrate how to combine Knowledge Graphs and Vector Search to build reliable, context-aware applications using open-source tools.
Scientific Data Under Threat in Today’s America
A brief look at how scientific data came under political pressure during the presidency of Donald Trump, and how scientists and data repositories in Europe worked to protect public access to evidence-based research, ensuring access for data science in a well-structured way.
10x CouchDB Performance Gains for a AAA Game Launch
All software benchmarks and claims of performance are carefully crafted lies and this talk is no different. Instead of giving you a quick “do steps one, two, three for a magic speedup”, we aim to explain how we arrived at the changes we made and how we rigorously tested those changes to make sure we understand their impact.
Turning the database inside out again
We rethink data systems by putting streams at the center. Expanding on Martin Kleppmann’s: Turning the Database Inside Out, this talk shows how Apache Kafka and Apache Iceberg together provide durable storage, indexing, and rich views that eliminate brittle ETL and unify real-time and historical analysis. A new way to see databases—and streams.
Floe: Policy-Based Table Maintenance for Apache Iceberg
Iceberg maintenance procedures work. Orchestrating them across hundreds of tables is the problem. Floe is an open-source system that treats maintenance as policy: glob patterns, schedules, and health-driven triggers that gate operations on real table metrics. Supports 7 catalogs, executes via Spark or Trino.
What you should know about constraints in PostgreSQL 18
This talk explains how constraints work in Postgres by exploring the pg_constraint catalog and core concepts like table vs. column constraints, constraint triggers, domains and constraint deferrability through SQL queries. It then covers what’s new in Postgres 18 including temporal keys, NOT NULL as a first-class constraint, NOT ENFORCED and more.
Writes, 3 ways: Postgres, Apache Kafka® and Apache Iceberg™
Learning new things is hard, but a useful way to think about new things is by comparing them to things you already know. In this talk, we’ll compare writes between 3 different popular data services: Postgres, Apache Kafka and Apache Iceberg. In doing so, we’ll learn a bit about the evolution of how we’ve thought of data storage as developers.
The Agent Era: How AI Agents Are Reshaping Data Platforms
AI agents have quietly become some of the most demanding users of modern data platforms and most weren’t built with them in mind. In this panel, leaders from Snowflake, Elastic, MotherDuck, and Xata share what agentic workloads actually look like in production: what broke, what had to be rebuilt, and where the architecture is heading.
Why Choose One: Multi-Engine Analytics with Apache Wayang
Choosing the best engine for each data task sounds right, but in modern data stacks doing so requires expertise and effort. Apache Wayang, a recently graduated TLP, addresses this by decoupling logical dataflows from execution engines. From big data platforms to SQL and ML engines, Wayang enables cross-platform execution that maximizes performance.