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Title & Speakers	Event
Event ClickHouse Meetup Zurich 2025-10-09
Governance at Scale with Iceberg: Unlocking Metadata through Lakekeeper 2025-10-09 · 07:30 Apache Iceberg brings powerful metadata to the table—but how do you turn it into governance that scales without slowing teams down? In this talk, we’ll explore how Lakekeeper builds on Iceberg’s foundation to make data management, fine-grained access control, and cross-platform interoperability seamless. Learn how metadata is becoming the backbone of modern data platforms, and why that matters for anyone using Iceberg together with engines like ClickHouse. apache iceberg lakekeeper metadata governance
Friedrich Rockenbauer, Daedalean 2025-10-09 · 07:10
Mark Frey, Jua AI 2025-10-09 · 06:50 AI/ML
ClickHouse - Latest features and roadmap 2025-10-09 · 06:30 ClickHouse

Open Source Real-Time Data Warehouse & Real-Time Analytics 2024-09-05 · 16:00 Location: Beekeeper, Hardturmstrasse 181 · Zürich, ZH ----- Hey there, data enthusiasts and ClickHouse aficionados! We've got some exciting news to share - our next meetup is on the horizon, and it's going to be in Zurich! Get ready for a delightful mix of mind-boggling data tales, insightful conversations, and maybe even a surprise or two up our sleeves. But here's the deal: to secure your spot, make sure you register ASAP! Agenda: 6:00 - 6:40 pm - Arrival and Check-in 6:40 - 7:00 pm - Rapidata: Jorge Paravicini, Software Architect and Luca Strebel, Founder. "Rapidata ClickHouse Journey: Observability with ClickHouse (Logs / Metrics / Traces) 7:00 - 7:20 pm - Gamera.app: Chris Naegelin, CTO. "Site Analytics: Cookieless, accurate, real time, and never sampled. Build on ClickHouse" 7:20 - 7:40 pm - GetInData: Krzysztof Zarzycki, CTO and Co-founder at GetInData, a part of Xebia. "Real-Time Analytics: Power of the KFC Stack (Kafka, Flink, and ClickHouse)" 7:40 - 8:00 pm - Zondax: Juan Leni, CEO of Zondax. "What indexing means in the blockchain industry?" 8:00 - 8:15 pm - "ClickHouse for Observability: Logs / Metrics / Traces" by Oussama Chakri, ClickHouse Solution Architect 8:15 - 09:00 pm - Food, Snacks, and Conversation If you are interested in speaking at a future event, please contact [email protected] GetInData: Krzysztof Zarzycki In the fast-paced world of modern business, where decisions need to be made at the speed of a drive-thru order, real-time analytics has become essential. This presentation explores the challenges of building real-time analytics systems and demonstrates how the Kafka, Flink, and ClickHouse – the "KFC Stack" – can transform your data from raw input into actionable insights with the efficiency of a well-oiled kitchen. We'll cover: The critical role of real-time analytics in today's competitive landscape Key technical and business challenges in implementing real-time data systems Real-time Streaming architecture using KFC Stack Case studies illustrating the application of the KFC stack in real-time analytics This presentation will be of particular interest to data engineers, analysts, IT architects, and anyone interested in using data to make faster and better business decisions. Whether you're a seasoned data professional or just starting your journey, this presentation will provide you with the knowledge and tools to build real-time analytics that deliver insights as quickly as your favorite fast-food order. Zondax: Juan Leni, Context: What indexing means in the blockchain industry - About Zondax: What we do - Before Clickhouse: How we were using Postgres\, Timescale in the past . What problems we had.... - Clickhouse: how the change was great\, how long it took\, some stories. - Infrastructure: cloud vs self-hosting. On-prem infrastructure. - Technical challenges and nice solutions. We have some interesting points that we can touch such as: Postgres with millons of rows is not even able to count rows Chain of materialized views (up to 8 chained MV to calculate different statistics) Some of them uses a in-memory dic to translate some values Around 10B rows on the bigger tables Clickhouse2Postgres databases to sync data from postgres-only apps (for retro-compatibility) Materialized Views to generate stats over Clickhosue2Postgres databases Running on cluster with three shards	Open Source Real-Time Data Warehouse & Real-Time Analytics
ClickHouse Meetup in Zurich 2024-04-16 · 16:00 Location: Beekeeper AG Hardturmstrasse 181 8005 Zürich ----- Hey there, data enthusiasts and ClickHouse aficionados! We've got some exciting news to share - our next meetup is on the horizon, and it's going to be in Zurich! Get ready for a delightful mix of mind-boggling data tales, insightful conversations, and maybe even a surprise or two up our sleeves. But here's the deal: to secure your spot, make sure you register ASAP! Agenda: 6:00 - 6:40 - Arrival and Check-in 6:40 - 7:00 - Talk #1 Analytics at Beekeeper - Why ClickHouse & Data Durability" by Andrei Isac and Adhi Sutandi 7:20 - 7:40 - Talk #2 Using GenAI for Analytics on top of Clickhouse' by JP Monteiro, Co-Founder & CTO of Veezoo. 7:40 - 8:00 - Talk #3 ClickHouse Updates and Roadmap + Q&A by a ClickHouse engineer (TBD). 8:00 - 8:30 - Food, Drinks, and Conversation If you are interested in speaking at a future event, please contact [email protected]	ClickHouse Meetup in Zurich

Location: Beekeeper, Hardturmstrasse 181 · Zürich, ZH ----- Hey there, data enthusiasts and ClickHouse aficionados! We've got some exciting news to share - our next meetup is on the horizon, and it's going to be in Zurich! Get ready for a delightful mix of mind-boggling data tales, insightful conversations, and maybe even a surprise or two up our sleeves.

But here's the deal: to secure your spot, make sure you register ASAP!

Agenda:

6:00 - 6:40 pm - Arrival and Check-in 6:40 - 7:00 pm - Rapidata: Jorge Paravicini, Software Architect and Luca Strebel, Founder. "Rapidata ClickHouse Journey: Observability with ClickHouse (Logs / Metrics / Traces) 7:00 - 7:20 pm - Gamera.app: Chris Naegelin, CTO. "Site Analytics: Cookieless, accurate, real time, and never sampled. Build on ClickHouse" 7:20 - 7:40 pm - GetInData: Krzysztof Zarzycki, CTO and Co-founder at GetInData, a part of Xebia. "Real-Time Analytics: Power of the KFC Stack (Kafka, Flink, and ClickHouse)" 7:40 - 8:00 pm - Zondax: Juan Leni, CEO of Zondax. "What indexing means in the blockchain industry?" 8:00 - 8:15 pm - "ClickHouse for Observability: Logs / Metrics / Traces" by Oussama Chakri, ClickHouse Solution Architect 8:15 - 09:00 pm - Food, Snacks, and Conversation

If you are interested in speaking at a future event, please contact [email protected]

GetInData: Krzysztof Zarzycki In the fast-paced world of modern business, where decisions need to be made at the speed of a drive-thru order, real-time analytics has become essential. This presentation explores the challenges of building real-time analytics systems and demonstrates how the Kafka, Flink, and ClickHouse – the "KFC Stack" – can transform your data from raw input into actionable insights with the efficiency of a well-oiled kitchen. We'll cover:

The critical role of real-time analytics in today's competitive landscape
Key technical and business challenges in implementing real-time data systems
Real-time Streaming architecture using KFC Stack
Case studies illustrating the application of the KFC stack in real-time analytics

This presentation will be of particular interest to data engineers, analysts, IT architects, and anyone interested in using data to make faster and better business decisions. Whether you're a seasoned data professional or just starting your journey, this presentation will provide you with the knowledge and tools to build real-time analytics that deliver insights as quickly as your favorite fast-food order.

Zondax: Juan Leni, Context: What indexing means in the blockchain industry - About Zondax: What we do - Before Clickhouse: How we were using Postgres\, Timescale in the past . What problems we had.... - Clickhouse: how the change was great\, how long it took\, some stories. - Infrastructure: cloud vs self-hosting. On-prem infrastructure. - Technical challenges and nice solutions. We have some interesting points that we can touch such as:

Postgres with millons of rows is not even able to count rows
Chain of materialized views (up to 8 chained MV to calculate different statistics)
Some of them uses a in-memory dic to translate some values
Around 10B rows on the bigger tables
Clickhouse2Postgres databases to sync data from postgres-only apps (for retro-compatibility)
Materialized Views to generate stats over Clickhosue2Postgres databases
Running on cluster with three shards

Location: Beekeeper AG Hardturmstrasse 181 8005 Zürich

-----

Hey there, data enthusiasts and ClickHouse aficionados! We've got some exciting news to share - our next meetup is on the horizon, and it's going to be in Zurich! Get ready for a delightful mix of mind-boggling data tales, insightful conversations, and maybe even a surprise or two up our sleeves.

But here's the deal: to secure your spot, make sure you register ASAP!

Agenda: 6:00 - 6:40 - Arrival and Check-in 6:40 - 7:00 - Talk #1 Analytics at Beekeeper - Why ClickHouse & Data Durability" by Andrei Isac and Adhi Sutandi 7:20 - 7:40 - Talk #2 Using GenAI for Analytics on top of Clickhouse' by JP Monteiro, Co-Founder & CTO of Veezoo. 7:40 - 8:00 - Talk #3 ClickHouse Updates and Roadmap + Q&A by a ClickHouse engineer (TBD). 8:00 - 8:30 - Food, Drinks, and Conversation

If you are interested in speaking at a future event, please contact [email protected]

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