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You can find query samples for accessing elements from repeated columns in the [Query Parquet nested types](query-parquet-nested-types.md#access-elements-from-repeated-columns) article.
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## Query samples
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You can learn more about querying various types of data using the sample queries.
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### Tools
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The tools you need to issue queries:
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- Azure Synapse Studio
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- Azure Data Studio
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- SQL Server Management Studio
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### Demo setup
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Your first step is to **create a database** where you'll execute the queries. Then you'll initialize the objects by executing [setup script](https://github.com/Azure-Samples/Synapse/blob/master/SQL/Samples/LdwSample/SampleDB.sql) on that database.
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This setup script will create the data sources, database scoped credentials, and external file formats that are used to read data in these samples.
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> [!NOTE]
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> Databases are only used for viewing metadata, not for actual data. Write down the database name that you use, you will need it later on.
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```sql
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CREATEDATABASEmydbname;
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```
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### Provided demo data
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Demo data contains the following data sets:
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- NYC Taxi - Yellow Taxi Trip Records - part of public NYC data set in CSV and Parquet format
| /csv/population/<br />/csv/population-unix/<br />/csv/population-unix-hdr/<br />/csv/population-unix-hdr-escape<br />/csv/population-unix-hdr-quoted | Folders with Population data files in different CSV formats. |
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| /csv/taxi/ | Folder with NYC public data files in CSV format |
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| /parquet/ | Parent folder for data in Parquet format |
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| /parquet/taxi | NYC public data files in Parquet format, partitioned by year, and month using Hive/Hadoop partitioning scheme. |
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| /parquet/nested/ | Sample Parquet files with nested columns |
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| /json/ | Parent folder for data in JSON format |
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| /json/books/ | JSON files with books data |
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## Next steps
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For more information on how to query different file types, and to create and use views, see the following articles:
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