talk-data.com

Location: Nexton, 5-7 rue Saint-Fiacre, 75002 Paris

Agenda: 18:40 - Doors Open & Networking & Snacks 19.00 - 19:15 - Intro by ClickHouse Oussama Chakri, Solution Architect Valentin Chanmala, EMEA South Sales 19.15 - 19:35 - Feedback session n°1 - Bodyguard Jérôme Quéré, CTO Florian Belliard, Engineering Manager 19.40 - 20:00 - Feedback session n°2 - HornetSecurity (Vade) Jonathan Delannoye, Head of Process Automation 20:05 - 21:00 - Food & Conversation

🌟 Hello Dubai Data Enthusiasts! 🌟 Join us for an exciting ClickHouse Meetup in Dubai, where we’ll dive into cutting-edge analytics, lightning-fast querying, and real-world use cases tailored for the region. Expect an evening filled with engaging discussions, live demos, and success stories showcasing how ClickHouse is transforming data-driven decision-making in the Middle East.

This is your chance to connect with Dubai’s vibrant tech community, exchange ideas, and explore how to harness the power of ClickHouse to tackle modern data challenges. Don’t miss out—secure your spot now and be part of this dynamic event!

We are also hosting a special launch party the next day - do register to secure your spot:

https://clickhouse.com/company/events/202502-emea-dubai-clickhouse-launch

📍Location: The St. Regis Downtown Dubai , Marasi Dr - Business Bay - Dubai - United Arab Emirates

📅 Agenda:

6:00 - 6:40 - Arrival and Check-in

6:40 - 7:00 - Simplifying Your Data Stack With ClickHouse Cloud Speaker : Benjamin Wootton, Independent Consultant Abstract: One of the great things about ClickHouse is in how it can play multiple roles in your data estate, covering use cases from observability, to data warehousing and powering public facing apps. In this session we will share a number of use cases which demonstrate the breadth of ClickHouse and explain how it can be used to remove complexity from your data stack.

7:20 - 7:40 - A Data Scientist’s Journey in Real Estate Valuation for Dubai with ClickHouse Cloud Speaker: Badr Ouali, Data Scientist Abstract: Explore how ClickHouse cloud transforms real estate valuation into a fast, scalable process. This session will showcase how property data is prepared, analyzed, and used for predictive insights. Discover how advanced Machine Learning models help forecast property prices and deliver business-ready data for powerful visualizations, providing a fresh perspective on Dubai’s real estate market.

7:40 - 8:00 - ClickHouse in Action: Real-Time Insights and the Road Ahead Speaker : Oussama Chakri, ClickHouse Solution Architect Abstract: We’ll guide you through an introduction to ClickHouse, showcase flexible deployment options, and highlight powerful features in ClickHouse Cloud that simplify development and the exciting roadmap. To top it off, learn why ClickHouse is redefining observability, offering the ultimate solution for real-time insights.

8:00 - 9:00 - Food, Drinks, and Conversation

Location: Nexton 5-7 Rue Saint-Fiacre, 75002 Paris

Agenda: 18:40 - Doors Open & Networking & Snacks 19.00 - 19:10 - Intro by Nexton Group Pierre-Alexis Durand, CEO 19.10 - 19:25 - Intro by ClickHouse Oussama Chakri, Solution Architect Valentin Chanmala, EMEA South Sales 19.25 - 19:45 - Feedback session n°1 - Manomano Elie Bleton, Software Engineer 19.45 - 20:05 - Feedback session n°2 - Hello Watt Guillaume Matheron, Lead Data Scientist 20:05 - 21:00 - Food & Conversation

Hey Data Enthusiasts,

Are you ready to dive into the world of real-time data like never before?

For our upcoming Meet Up, ClickHouse is partnering with Luzmo to put the spotlight on how to build innovative real-time data products—a must-have for today's data-driven world. Whether you're working on customer-facing analytics or powering internal teams with instant insights, this event is designed for you!

Brought to you by Luzmo and Open Source ClickHouse, our goal is to help more developers find the tools and building blocks they need to build powerful data experiences. Whether it’s real-time data warehousing, embedded analytics, or data visualization SDKs, we’ll show you the ropes.

Expect a delightful mix of mind-boggling data tales, engaging conversations, and maybe even a surprise or two!

But here’s the thing—seats are limited, so secure your spot by registering ASAP!

We can't wait to connect with you and explore the cutting-edge of real-time data together.

See you there! The Clickhouse & Luzmo teams

Location: WATT Factory Vlasgaardstraat 52, 9000 Gent

Agenda: 6:00 - 6:40 - Arrival and Check-in 6:40 - 7:00 - Haroen Vermylen, CTO Luzmo - “Using Clickhouse for fun & profit: driving innovation and efficiency” 7:00 - 7:20 - Nicolas Vecoven, lead engineer at Haulogy: "Powering the Energy Transition with ClickHouse Analytics" 7:20 - 7:40 - Juan Carlos Lloret, Lead Developer at Lansweeper: "ClickHouse journey: Elastic to ClickHouse OSS to ClickHouse Cloud" 7:40 - 8:00 - Oussama Chakri, Solution Architect at ClickHouse: "SQL Based Observability replacing Open Search / Elastic / Datadog + JSON data Type + Compute - Compute Separation, etc." 8:00 - 8:30 - Food, Drinks, and Conversation

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

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