ClickHouse is one of the mainstream choices in the field of big data real-time analysis. ClickHouse's goal is to provide people with the world's fastest analytical database. In various OLAP query engine evaluations, the query performance of ClickHouse has swept all major OLAP database engines, especially the Ad Hoc ad hoc query performance, which has always been far ahead. Therefore, ClickHouse is widely used in ad hoc query business scenarios.
The design idea of ClickHouse is very good, and the code and architecture are worthy of in-depth study. The ClickHouse team's spirit of excellence is worth learning for each of us. Although it is necessary to quickly iterate ClickHouse, the ClickHouse team will still not lower the requirements. For example, in order to use one algorithm, at least 10 algorithms will be tried, and after a certain algorithm is selected, other algorithms will continue to be tried in the future, so that used in the next iteration. It is precisely because of this attitude of striving for perfection and pursuing the ultimate that ClickHouse has the ultimate performance.
Recommend a masterpiece in the ClickHouse field for you: "ClickHouse Introduction, Practice and Advancement"
This book is fully developed from the four dimensions of basic knowledge, implementation principles, project practice, and extended applications. It is concise and clear in expression and rich in practical cases. It can be used not only as a standard reference book for getting started, but also as a desk quick reference manual. The content of the book is a summary of the author's years of practical experience in Alibaba and ByteDance, and has been highly praised by nine big data experts from ByteDance and Alibaba.
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Book Highlights
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Senior big data experts and architects have summarized years of practical experience in ByteDance and Alibaba, and 9 senior big data experts including the person in charge of Douyin e-commerce data product research and development jointly recommended it.
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From the four dimensions of basic knowledge, implementation principles, project practice, and extended applications, hundreds of cases are carefully designed to help you quickly master ClickHouse.
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It introduces the past and present of ClickHouse, the ecology of the industry, basic knowledge and many details of the implementation principle, as well as the actual combat of ClickHouse in the enterprise-level big data analysis business.
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Pay attention to practicality, and give a large number of operation examples and project actual combat cases.
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By reading this book, you will understand how ClickHouse works, and at the same time, you will master how to use ClickHouse to solve big data real-time analysis problems in actual business projects.
Suitable reading group
This book is a professional technical book that comprehensively introduces the development of ClickHouse from entry to actual combat to advanced. The suitable readers are mainly:
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Teachers and students of computer, big data, artificial intelligence and other related majors;
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Beginners who are interested in enterprise digitalization, big data OLAP analysis engine, database and other fields;
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Big data practitioners, BI engineers, data analysts, programmers, etc.
author of this book
Chen Guangjian , a senior big data expert, back-end technical expert and architect, has more than 10 years of experience in technology research and development and management, and has rich experience in front-line combat. He is currently working for ByteDance and previously worked for Alibaba. He is mainly engaged in system architecture design and R&D work such as enterprise intelligent digital operation management and e-commerce intelligent digital operation.
He has a very deep accumulation in the field of big data and enterprise-level system architecture, and is good at the design and development of big data system architecture and distributed system architecture. At the same time, he has very rich practical experience in the field of microservice architecture and programming language, has a deep understanding and rich practical experience in functional programming, domain modeling and Kotlin, Go programming language and other technologies, and is keen on learning new technology and technology. share. In his hobbies, reading, calligraphy and writing, he admires Yangming's philosophy of mind.