SmartData 2026

Overview

SmartData 2026 is a Russia based conference focused on data engineering for backend systems, analytics, and machine learning. The event brings together practitioners across data storage, streaming, data governance, and the architecture of data platforms to explore practical architecture and workflows. The program is designed for data engineers, data scientists, developers, and IT leaders who work with data pipelines, ML integrations, and enterprise data solutions. The page indicates that the conference spans two days and is held in Moscow with an online attendance option, creating a hybrid experience for participants around the world. The event emphasizes hands on technical talks, discussions, and opportunities to network with peers and experts. The organizer is associated with JUG Ru Group, reflecting a community driven, developer oriented atmosphere.

Dates and Location

The event is scheduled for September 23 and 24, 2026. The venue is the Hotel Holiday Inn Moscow Sokolniki, located at Rusakovskaya Street 24, Moscow. The page also notes an online attendance mode, indicating a blended format where attendees can participate remotely as well as in person. The content highlights offline and online participation as a core aspect of the conference experience.

Content and Tracks

SmartData 2026 features a broad set of topics related to data processing, data storage, data platforms, and ML oriented workflows. It highlights tracks such as Data Processing, Data Storage, DataOps, Cloud Solutions, and Architecture of Data Platforms. The event collects and curates content through a program committee consisting of experienced data professionals, ensuring high quality material. Materials from previous conferences are available, including a Telegram channel and a media section with links to recordings, articles, and past talks. The conference routinely emphasizes the integration of data engineering with ML and analytics at scale and includes practical, implementation oriented sessions.

Speakers and Sessions

The conference counts around 60 speakers and 45 talks across the program, with a strong focus on technical content and real world case studies. While the page notes that the current program is being assembled, it emphasizes that the conference offers in depth discussions, demonstrations, and opportunities to engage with speakers after talks in offline formats. Past materials show a mix of keynote style talks, technical deep dives, and community driven sessions that address both platform level decisions and actionable engineering practices.

Who Should Attend

SmartData 2026 is presented as the only specialized Russian conference dedicated to data engineering for backend systems, analytics, and ML. It is aimed at data engineers, data scientists, software developers, systems architects, and IT leaders who are actively building and operating data pipelines and ML systems. The hybrid format makes it accessible to both local attendees in Moscow and remote participants looking to learn from industry experts and peers.

Format and Access

The event combines in person sessions in Moscow with online components. The program underscores a collaborative environment with technical talks, discussions, and opportunities for networking, including after party experiences when offline. It also notes ongoing updates to the schedule and the possibility to subscribe for news and updates about speakers, sessions, and ticketing information.

FAQs

Key logistics such as location details, dates, and the hybrid format are provided. The event uses a public registration system and maintains a schedule that is updated as talks are confirmed. Attendees can access past materials and connect with the conference community through the official channels and social links listed on the site.

Summary

SmartData 2026 presents a comprehensive platform for data engineering professionals to gain practical insights, exchange experiences, and stay updated on data technology trends. With a two day format in Moscow and an online option, the conference aims to attract a broad audience while maintaining a strong technical focus, high quality talks, and active community engagement.