Mark Needham
Product at ClickHouse
London, United Kingdom
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Mark Needham is a Product Marketing Engineer at ClickHouse, where he works on short-form written and video content. He previously worked as a Developer Advocate at StarTree (Apache Pinot) and as a Developer Relations Engineer at Neo4j.
Apart from writing blog posts and creating videos, Mark does developer experience, simplifying the getting started experience by making product tweaks and improvements to the documentation. Mark writes about his experiences working with all things data at markhneedham.com and has written two books on Graph Algorithms and Real Time Analytics. He also creates 5 minute videos on his YouTube channel @LearnDataWithMark.
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Analytics on your laptop with ClickHouse
In the world of large-scale data analytics, ClickHouse is a commonly used tool, renowned for its speed, efficiency, and scalability.
What's less known is that you can also use ClickHouse to run analytics on your own machine and that's what we'll be exploring in this talk.
We'll kick off with a primer on ClickHouse, explaining what it is and how how it differs to a relational database in terms of data storage and processing.
We'll walk through some use cases, before getting to the core of the talk, which will be a series of live demonstrations.
We'll learn how to process data from an S3 bucket, a Redpanda broker, and a GitHub repository, covering data formats such as Parquet, JSON, CSV, and more.
Once we've done that, we'll see how to integrate ClickHouse into the Python ecosystem using chdb, a Python library built on top of ClickHouse.
It'll be a fast paced session, but hopefully you'll pick up something useful that you can use in your own work.
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