Mark Needham Principal Product Marketing Manager, ClickHouse
In this video, we'll learn how to transform log entries using ClickHouse materialized views. We start with a bunch of log files in S3 and then show how to pull out the individual components using a regular expression and store them in a MergeTree table. We conclude by seeing that our solution can also handle any new files added to the S3 bucket.
![Powering Feature Stores with ClickHouse](/_next/image?url=https%3A%2F%2Fimg.youtube.com%2Fvi%2FY9QlYOQVmzc%2Fmaxresdefault.jpg&w=1920&q=75)
![Powering Feature Stores with ClickHouse](/_next/image?url=%2F_next%2Fstatic%2Fmedia%2Ffallback.ff0d724a.png&w=1920&q=75)
ClickHouse, How to
Powering Feature Stores with ClickHouse
Mark Needham Principal Product Marketing Engineer, ClickHouse
![Querying archive files with ClickHouse](/_next/image?url=https%3A%2F%2Fimg.youtube.com%2Fvi%2FCiKfRMAhs3M%2Fmaxresdefault.jpg&w=1920&q=75)
![Querying archive files with ClickHouse](/_next/image?url=%2F_next%2Fstatic%2Fmedia%2Ffallback.ff0d724a.png&w=1920&q=75)
How to
Querying archive files with ClickHouse
Mark Needham Principal Product Marketing Manager, ClickHouse
![Importing Numpy array files into ClickHouse](/_next/image?url=https%3A%2F%2Fimg.youtube.com%2Fvi%2F_7mpIeig8Hw%2Fmaxresdefault.jpg&w=1920&q=75)
![Importing Numpy array files into ClickHouse](/_next/image?url=%2F_next%2Fstatic%2Fmedia%2Ffallback.ff0d724a.png&w=1920&q=75)
How to
Importing Numpy array files into ClickHouse
Mark Needham Principal Product Marketing Manager, ClickHouse
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