Insights
Sharing knowledge and lessons learnt based on my ClickHouse engagements.
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Benjamin Wootton
July 11, 2024
Using functions integrated into ClickHouse to implement a linear regression.
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Benjamin Wootton
June 10, 2024
We’ve recently used K6 to directly load test a ClickHouse environment and found it to be very powerful and expressive.
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Benjamin Wootton
May 23, 2024
In this article we analyse the differences in pricing between Snowflake and ClickHouse Cloud
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Benjamin Wootton
April 22, 2024
This article is part of a series where we look at doing data science work within ClickHouse
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Benjamin Wootton
March 30, 2024
Last week we delivered a webinar with the Cube team, covering why we believe that Cube is an excellent fit for building data-oriented applications.
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Benjamin Wootton
March 15, 2024
Machine learning professionals can learn how to combine ClickHouse Cloud and AWS SageMaker for powerful data analytics and predictive modeling. This comprehensive guide demonstrates end-to-e...
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Benjamin Wootton
March 8, 2024
ClickHouse is increasingly being used by capital markets firms such as investment banks, hedge funds and trading technology vendors.
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Benjamin Wootton
February 14, 2024
The cost model behind many cloud data warehouses is not defined for low latency big data workloads.
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Benjamin Wootton
February 7, 2024
As a professional services firm, we have a workforce allocation or optimisation problem. In this article we demonstrate how to solve this problem using ClickHouse Cloud and Google OR-Tools.
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Benjamin Wootton
January 28, 2024
When you think of data warehouse technology, you may think of legacy on premise offerings such as Oracle or Terradata, or more modern cloud based platforms such as Snowflake, AWS Redshift or...
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Benjamin Wootton
January 22, 2024
A feature store is a place to store the cleaned and prepared input data that we use to train a machine learning model
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Benjamin Wootton
January 17, 2024
How ClickHouse cloud has the potential to take complexity out of your data stack.
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