MTT #11: Data Architecture, Databases & Pipelines

​Join us for an evening dedicated to the architecture and engineering of modern data systems with production-ready and open-source solutions.

​Agenda:

​6:35-7:05 PM CDC — Till Failover Do Us Part

By Irina Lager, Senior Database Architect, Altenar

CDC looks like the answer to everything: real-time data, clean integrations, simple architecture. In practice, it’s not that simple. We’ll go through how log-based CDC actually works, when it makes sense, and what can go wrong — including real-world lessons from running it in production.

​7:20-8:00 PM The Race to Zero Latency: Next-Gen Data Streaming

By Matthew Aquilina, Big Data Architect, Altenar

​Introducing a paradigm shift: decoupling storage from compute and bringing computation directly to the data stream to solve message queue overload and high compute costs.

​8:10-8:40 PM Taking Full Control of the Data Stack: No DBT Cloud, No Lock-In

​By Evgeny Ermakov, Founder iJKos & Partners ltd, ex-Toloka.ai

​Let's assemble a flexible and fully open-source data stack using dbt OSS with Airflow in production. We’ll cover orchestration, deployment workflows, and experimental LLM-related workflows via MCP.