> For the complete documentation index, see [llms.txt](https://upsolver.gitbook.io/content/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://upsolver.gitbook.io/content/reference-1/learning-paths/amazon-s3.md).

# Amazon S3

## Steps

1. [Configure access](/content/how-to-guides-1/connectors/configure-access/amazon-s3.md) to your source Amazon S3 location. 
2. Create a [connection](/content/reference-1/sql-commands/connections/create-connection/amazon-s3.md) to your source Amazon S3 location.
3. Create a connection to your target (see the **Supported Targets** list below for links).
4. Create the entities for your target per the list in the **Job Type & Steps** column below. Note that there are multiple options for ingesting to Snowflake: 

<table><thead><tr><th width="488">Job Type &#x26; Steps</th><th width="239">Supported Targets </th></tr></thead><tbody><tr><td><p></p><p><strong>Ingestion Job</strong></p><ul><li>Create a staging <a href="/pages/3g07e3Ev48sH2HZvx7da">table</a> in the data lake</li><li>Create an <a href="/pages/exS6qOYXal4UTv9QNTfP">ingestion job</a> to load data into the staging table</li><li>Create a <a href="/pages/4rIbxsHcQiFNDE7uqhxl">transformation job</a> for each target</li></ul></td><td><ul><li><a href="/pages/DBmhNKF418YpQkCd3Rut">Amazon Redshift</a></li><li><a href="/pages/sMpvNIHMkXGRDRHDbiEw">AWS Glue Data Catalog</a></li><li><a href="/pages/b6bD5oKYDKSrTRzWIPVA">ClickHouse</a></li><li><a href="/pages/z2vaKDhhblkvM7pU7dTP">Elasticsearch</a></li><li><a href="/pages/hniDy12begtracE6wMNE">Polaris Catalog</a></li><li><a href="/pages/talqTSYMj6qLogJjnfax">PostgreSQL</a></li><li><a href="/pages/0UHsp6giBAPFXi67HzaN">Snowflake</a></li></ul></td></tr><tr><td><p></p><p><strong>Direct Ingestion Job</strong></p><ul><li>Create an <a href="/pages/exS6qOYXal4UTv9QNTfP#direct-ingestion-to-target">ingestion job</a> to load directly into the target</li></ul></td><td><ul><li><a href="/spaces/WKMq8oT1OPM3KjP8vlg2/pages/0UHsp6giBAPFXi67HzaN">Snowflake</a></li></ul></td></tr></tbody></table>

{% hint style="success" %}
**No-code Wizard**

Alternatively, you can use the [Upsolver no-code Wizard](/content/quickstarts-1/data-ingestion-wizard/using-the-wizard.md) to get your pipelines started in super-quick time. The Wizard generates the code for you so you can optionally customize it for your requirements, and create advanced use cases.  &#x20;
{% endhint %}

***

## Related Content

#### Quickstarts

* [Create an Amazon S3 Connection](/content/quickstarts-1/connectors/connectors/amazon-s3.md)
* [Ingest Your Data from Amazon S3](/content/quickstarts-1/jobs/ingestion/stream-and-file-sources/amazon-s3.md)
* [Output to Amazon S3](/content/quickstarts-1/jobs/transformation/data-targets/output-to-amazon-s3.md)

#### How To Guides

* [Create and Maintain Connections to Your Amazon S3 Bucket](/content/how-to-guides-1/connectors/create-connections/amazon-s3.md)
* [Configure Access to Amazon S3](/content/how-to-guides-1/connectors/configure-access/amazon-s3.md)
* [Real-time Data Ingestion — Amazon S3 to Amazon Athena](/content/how-to-guides-1/jobs/basics/real-time-data-ingestion-amazon-s3-to-amazon-athena.md)
* [Joining Data — Amazon S3 to Amazon Athena](/content/how-to-guides-1/jobs/advanced-use-cases/joining-data-amazon-s3-to-amazon-athena.md)
* [Upserting Data — Amazon S3 to Amazon Athena](/content/how-to-guides-1/jobs/advanced-use-cases/upserting-data-amazon-s3-to-amazon-athena.md)

#### Reference

* [Connection Options for Amazon S3](/content/reference-1/sql-commands/connections/create-connection/amazon-s3.md)
* [Ingestion Job Options for Amazon S3](/content/reference-1/sql-commands/jobs/create-job/ingestion/amazon-s3.md)


---

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