Open Data Circle – Lakehouse Meetup #1
Overview
Open Data Circle – Lakehouse Meetup #1, co-hosted with Databricks and Tokyo AI, brings together data architects, engineers, and product practitioners at Lodge (LY Corporation HQ) and online via Zoom. The session focuses on practical lakehouse architecture, real-time data operations, and emerging tools shaping the modern data ecosystem.
Modern table formats through a Rust lens — strengths, trade-offs, and where the ecosystem is heading.
Databricks Realtime Mode in production: concepts, field lessons, and readiness checklists.
A first look at DuckLake, a lightweight lakehouse format with database-backed metadata.
Expect concise talks, practical insights, and time to compare notes with peers building modern analytics systems.
Agenda
All sessions will be conducted in English; no live translation will be provided.
18:30 – 19:00: Arrival & Check-In
19:00 – 19:05: Opening Remarks
19:05 – 19:30: Exploring Modern Table Formats in Rust (Zhiyan Xiao, Open Data Circle)
19:30 – 19:55: Getting Started with Realtime Mode on Databricks: Concepts and How It Works (Satoshi Kuramitsu, Databricks)
19:55 – 20:20: Exploring DuckLake: A First Look with Simple Data Flows (Yuqing Guan, Open Data Circle)
20:20 – 21:30: Networking Session
Agenda is subject to minor adjustments before showtime; check this page or your Luma updates for the latest schedule.
Speakers
Organizer, Open Data Circle
Exploring Modern Table Formats in Rust
Open table formats such as Apache Iceberg, Delta Lake, Paimon, and Lance are shaping the foundation of today’s data platforms. This session takes a look at key ideas behind today’s open table formats and how their design principles are shaping modern data platforms. It also explores how the Rust ecosystem can contribute to building high-performance, reliable, and modular data systems — an open exploration of how these designs may evolve in the years ahead.
Solutions Architect Manager, Databricks
Getting Started with Realtime Mode on Databricks: Concepts and How It Works
I'm Satoshi Kuramitsu, Solutions Architect Manager at Databricks, responsible for the automotive, manufacturing, and telecommunications industries. I have been instrumental in driving cloud adoption among automotive customers, primarily focusing on connected vehicle platforms and autonomous driving software development platforms. I emphasize leveraging Databricks technologies to effectively address complex industry challenges.
Organizer, Open Data Circle
Exploring DuckLake: A First Look with Simple Data Flows
The Lakehouse paradigm continues to evolve, with DuckLake emerging as a lightweight lakehouse format with database-backed metadata. This session explores its core ideas, walks through a simple DuckLake demo, and discusses its strengths and current limitations — a practical first look at this emerging approach to modern data processing.
Organizers and Partners
Open Data Circle (ODC)
Open Data Circle (ODC) is an independent community based in Tokyo that connects data engineers, platform builders, and open-source enthusiasts who are passionate about building the future of data systems together. We explore modern data architectures — from streaming and lakehouse to AI-native systems — through hands-on meetups, open discussions, and collaborative projects. ODC aims to create a friendly and high-quality space where professionals across companies can exchange ideas, learn from each other, and drive innovation in the data ecosystem.
Databricks is a leading data and AI platform that helps organizations unify their data, analytics, and AI workloads. The platform enables data teams to collaborate on data science and machine learning projects, providing tools for data engineering, machine learning, and business analytics. With advanced capabilities for building and deploying AI agents, Databricks empowers organizations to create intelligent, autonomous systems that can reason, plan, and act on complex tasks. Databricks is committed to democratizing AI and helping organizations build intelligent applications and AI agents at scale.
Tokyo AI (TAI)
Tokyo AI (TAI) is the largest AI community in Japan, bringing together over 2,600 members, including engineers, researchers, investors, product managers, and corporate innovation leaders, primarily based in Tokyo. TAI serves as a hub for cutting-edge AI discussions, enabling collaboration between startups, academia, and industry to drive meaningful technological advancements. With over 70 events and 300+ speakers, TAI is dedicated to establishing Tokyo as a global AI powerhouse and fostering innovation in the AI ecosystem.
Location
On-site: Lodge (LY Corporation Head Office, Kioicho, Tokyo). Detailed arrival instructions will be shared later.
Online: Zoom dial-in details will be shared closer to the event via Luma.