Mark Needham Principal Product Marketing Manager, ClickHouse
ClickHouse recently added support for the Largest Triangle Three Buckets (LTTB) algorithm, a powerful technique for downsampling time series data. And in this video, we'll learn how to use it with help from the SF Bay Area bike share dataset from Kaggle. Once we've imported the data, we'll learn how to visualise the number of free docks in Plot.ly for one of the bike stations using raw data, downsampling using the average function, and finally the Largest Triangle Three Buckets algorithm.


LogHouse, Observability for ClickHouse Cloud
Get an insider’s look at LogHouse, the ClickHouse-powered logging platform that drives observability for ClickHouse Cloud.


Powering Feature Stores with ClickHouse
Mark Needham Principal Product Marketing Engineer, ClickHouse


Querying archive files with ClickHouse
Mark Needham Principal Product Marketing Manager, ClickHouse