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| <h1 class="title">Data Sources</h1> |
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| <p>Spark SQL supports operating on a variety of data sources through the DataFrame interface. |
| A DataFrame can be operated on using relational transformations and can also be used to create a temporary view. |
| Registering a DataFrame as a temporary view allows you to run SQL queries over its data. This section |
| describes the general methods for loading and saving data using the Spark Data Sources and then |
| goes into specific options that are available for the built-in data sources.</p> |
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| <li><a href="sql-data-sources-load-save-functions.html">Generic Load/Save Functions</a> |
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| <li><a href="sql-data-sources-parquet.html#configuration">Configuration</a></li> |
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