- This event has passed.
5th November 2018 @ 9:00 am - 7th November 2018 @ 9:00 pm GMT
Radisson Blu Hotel, Frankfurt
65 FranklinstraßeFrankfurt am Main, HE, 60486Germany (map)
Altinity is thrilled to be among the sponsors of the event. Visit our booth in the Exhibit Hall
Use a complimentary code ALT20 to get 20% off of a full conference pass
1. ClickHouse 2018: How to stop waiting for your queries to complete and start having fun
Speaker: Alexander Zaitsev, Altinity CTO
Wednesday 11:20 AM – 12:10 PM @ Nikkei room
ClickHouse is fast and scalable open source SQL DBMS from Yandex. In this talk, I will briefly review what’s new in 2018, and concentrate on advice and case studies how ClickHouse can solve immediate problems without significant investments of time and resources. ClickHouse can handle petabytes of data, but it perfectly works for smaller projects, thanks to its performance and easy integration with MySQL, Logstash and other open source technologies.
2. Advanced Features of ClickHouse
Speaker: Aleksei Milovidov, Yandex
Wednesday 12:20 PM – 1:10 PM @ Nikkei room
I will talk about unusual and unique ClickHouse features:
- aggregation states as first-class citizens;
- multidimensional arrays and higher-order functions;
- approximate query execution;
- incremental data aggregation;
- query processing without the server;
I will show practical examples and use cases from Yandex and other companies.
3. ClickHouse at Messagebird: analysing billions of events in real-time
Speakers: Aleksandar Aleksandrov and Felix Mattrat, MessageBird
Wednesday 2:20 PM – 3:10 PM @ Nikkei room
At MessageBird we send hundreds of millions of messages across the world every month, which generate billions of events. Providing real-time* analytics is key to being able to quickly deliver those messages to our customers. From measuring and optimising the performance of our platform, to providing insights to our customers, ClickHouse is being used far and wide inside our organisation.
In this talk, we look into how Clickhouse allows us to ingest a large amount of data and run complex analytical interactive queries. We also present the business needs that brought ClickHouse to our attention and detail the journey to its deployment. We cover the problems we faced, and how we dealt with them. We talk about our current Cloud production setup and how we deployed and use it. Last but not least, we talk about mistakes we did along the way and what we learned from running and maintaining a ClickHouse cluster by ourselves.