ClickHouse/docs/en/getting-started/index.md

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Tutorials and Example Datasets

We have a lot of resources for helping you get started and learn how ClickHouse works:

• If you need to get ClickHouse up and running, check out our Quick Start
• The ClickHouse Tutorial analyzes a dataset of New York City taxi rides

In addition, the sample datasets provide a great experience on working with ClickHouse, learning important techniques and tricks, and seeing how to take advantage of the many powerful functions in ClickHouse. The sample datasets include:

• The UK Property Price Paid dataset is a good starting point with some interesting SQL queries
• The New York Taxi Data has an example of how to insert data from S3 into ClickHouse
• The Cell Towers dataset imports a CSV into ClickHouse
• The NYPD Complaint Data demonstrates how to use data inference to simplify creating tables
• The "What's on the Menu?" dataset has an example of denormalizing data
• The Laion dataset has an example of Approximate nearest neighbor search indexes usage
• The TPC-H, TPC-DS, and Star Schema (SSB) industry benchmarks for analytics databases
• Getting Data Into ClickHouse - Part 1 provides examples of defining a schema and loading a small Hacker News dataset
• Getting Data Into ClickHouse - Part 3 - Using S3 has examples of loading data from s3
• Generating random data in ClickHouse shows how to generate random data if none of the above fit your needs.

View the Tutorials and Datasets menu for a complete list of sample datasets.