Webinar: Analyzing Billion Row Datasets with ClickHouse

June 5, 2019
Speaker: Robert Hodges, Altinity CEO
This talk shows how to get a sub-second response from datasets containing a billion rows or more. We’ll start with defining schema and loading quickly data in parallel. We will then introduce tricks like LowCardinality datatype, ASOF joins, and materialized views that can reduce query response to thousandths of seconds. Finally, we’ll show you metrics and logging to analyze query performance. After this talk you’ll be ready for your first billion rows and many more afterwards. 

Webinar: ClickHouse on Kubernetes!

April 16, 2019
Speaker: Robert Hodges, Altinity CEO
Data services are the latest wave of applications to catch the Kubernetes bug. Altinity is pleased to introduce the ClickHouse operator, which makes it easy to run scalable data warehouses on your favorite Kubernetes distro. This webinar shows how to install the operator and bring up a new data warehouse in three simple steps. We also cover storage management, monitoring, making config changes, and other topics that will help you operate your data warehouse successfully on Kubernetes. There is time for demos and Q&A, so bring your questions. See you online!

Webinar: A Fast Intro to Fast Query with ClickHouse

March 6, 2019
Speaker: Robert Hodges, Altinity CEO
Extracting business insight from massive pools of machine-generated data is the central analytic problem of the digital era. ClickHouse data warehouse addresses it with sub-second SQL query response on petabyte-scale data sets. In this talk we’ll discuss the features that make ClickHouse increasingly popular, show you how to install it, and teach you enough about how ClickHouse works so you can try it out on real problems of your own. We’ll have cool demos (of course) and gladly answer your questions at the end.

Webinar: Supercharge Your Analytics with ClickHouse

September 14, 2017

Speakers: Vadim Tkachenko, Percona’s, CTO and Alexander Zaitsev, Altinity’s Co-Founder.

ClickHouse is a real-time analytical database system. Even though they’re only celebrating one year as open source software, it has already proved itself ready for the serious workloads.