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You need access to a running ClickHouse service to complete this tutorial. For instructions, see the [Quick Start](./quick-start.mdx) guide.
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## Create a new table {#create-a-new-table}
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The New York City taxi dataset contains details about millions of taxi rides, with columns including tip amount, tolls, payment type, and more. Create a table to store this data.
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Generally, we avoid using `SELECT *` often in ClickHouse. You should only retrieve the columns you actually need. However, this query is slower for the purposes of the example.
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## Next steps {#next-steps}
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- [Integrate an external data source](/integrations/index.mdx): Review data source integration options, including files, Kafka, PostgreSQL, data pipelines, and many others.
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- [Visualize data in ClickHouse](./integrations/data-visualization/index.md): Connect your favorite UI/BI tool to ClickHouse.
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- [SQL Reference](./sql-reference/index.md): Browse the SQL functions available in ClickHouse for transforming, processing and analyzing data.
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