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](../quick-start.mdx)
- The [ClickHouse Tutorial](../tutorial.md) 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](../getting-started/example-datasets/uk-price-paid.md) is a good starting point with some interesting SQL queries
- The [New York Taxi Data](../getting-started/example-datasets/nyc-taxi.md) has an example of how to insert data from S3 into ClickHouse
- The [Cell Towers dataset](../getting-started/example-datasets/cell-towers.md) imports a CSV into ClickHouse
- The [NYPD Complaint Data](../getting-started/example-datasets/nypd_complaint_data.md) demonstrates how to use data inference to simplify creating tables
- The ["What's on the Menu?" dataset](../getting-started/example-datasets/menus.md) has an example of denormalizing data
- The [Laion dataset](../getting-started/example-datasets/laion.md) has an example of [Approximate nearest neighbor search indexes](../../engines/table-engines/mergetree-family/annindexes.md) usage
- [Getting Data Into ClickHouse - Part 1](https://clickhouse.com/blog/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](https://clickhouse.com/blog/getting-data-into-clickhouse-part-3-s3) has examples of loading data from s3
- [Generating random data in ClickHouse](https://clickhouse.com/blog/generating-random-test-distribution-data-for-clickhouse) shows how to generate random data if none of the above fit your needs.
