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1
Introduction
2
ClickHouse Background
3
What is ClickHouse
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Online Analytical Processing
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Open Source
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C
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What I Like
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Table Definition
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Table Engine
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Summing Merge Tree
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Creating a materialized view
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Distributing data across a cluster
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rand
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command line
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aggregated data
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query count
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query on raw data
Description:
Explore the power of ClickHouse for handling large volumes of immutable structured data in this ACCU 2021 conference talk. Learn about the open-source column-oriented database management system with SQL querying capabilities, written in C++. Discover how ClickHouse can be used to analyze massive datasets, such as 12 billion daily DNS transaction records, on a small cluster of servers. Gain insights into table definitions, table engines, materialized views, and data distribution across clusters. Follow along as the speaker demonstrates ClickHouse's capabilities using a large dataset on a laptop, showcasing its efficiency in online analytical processing. Understand the benefits of ClickHouse for developers working with high-volume, structured data and looking to perform SQL queries for analysis.

Handling Large Volumes of Immutable Structured Data With ClickHouse

ACCU Conference
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