---
title: "Amazon S3 as a Source"
slug: "s3-as-a-source"
description: "Create a AWS S3 data source easily with Dataddo. Transfer your data from AWS S3 to any other data destination securely and quickly. Connect your data now."
tags: ["Database as a source", "Custom-schema connector", "How-to guide", "Data source"]
updated: 2026-07-07T06:36:52Z
published: 2024-07-07T13:25:35Z
canonical: "docs.dataddo.com/s3-as-a-source"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.dataddo.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Amazon S3 as a Source

**Amazon S3 (Amazon Simple Storage Service)** is a scalable cloud storage service provided by Amazon Web Services. It allows businesses and developers to store and retrieve large amounts of data in a secure and highly available manner, providing durable object storage for a wide range of use cases such as backup and restore, data archiving, content distribution, and data analytics.

## Authorize Connection to Amazon S3

In order to connect Amazon S3 as a source, you will need to first [authorize the connection to your Amazon S3](/docs/s3#authorize-connection-to-amazon-s3).

## How to Create an Amazon S3 Data Source

1. Under the **Sources** tab, click on the [**Create Source**](https://app.dataddo.com/sources/new) button and select the connector from the list.
2. From the drop-down menu, choose your **account**.
          **Didn't find your account?**

          

Click on **Add new Account** at the bottom of the drop-down and follow the on-screen prompts. You can also go to the **Authorizers** tab and click on [**Add New Service**](https://app.dataddo.com/service/new).
3. **Name** your data source and fill in the **Path** of the file (you can find this information under file properties).
4. Under **File Setup** (make sure you know where your file is stored):
  1. Enter your data file's name
  2. Select the appropriate file format
5. [**Optional**] Configure your data transformation. If you are unsure about how to proceed, we recommend skipping this step.
6. Configure your **snapshotting preferences**. Choose your [**sync frequency**](/docs/extraction#extraction-frequency) or the exact synchronization time under **Show advanced settings**.
7. Preview your data by clicking on the **Test Data** button in the top right corner. You can **adjust the date range** for a more specific time frame.
8. Click on **Save** and **congratulations, your new data source is ready!**

---

## Troubleshooting

### Context Deadline Exceeded Error

**ERROR CODE**

```
rpc error: code = DeadlineExceeded desc = context deadline exceeded
```

This issue may be caused by extracting data over an **extended timeframe**. Use `WHERE` or `LIMIT` clauses in your SQL query to manage the size and scope of the data extraction.

1. Use `WHERE` to specify the date range.

```
SELECT * FROM your_table
WHERE date_column BETWEEN '202X-01-01' AND '202X-01-31';
```
2. Use `LIMIT` to specify the specify the maximum number of records to return.

```
SELECT * FROM your_table
LIMIT 1000;
```
3. Combine `WHERE` and `LIMIT` for more precise control. The query in this example will return the first 1000 records where the date is after January 1, 202X.

```
SELECT * FROM your_table
WHERE date_column > '202X-01-01'
LIMIT 1000;
```

## Related Articles

Now that you have successfully created a ***data source***, see how you can connect your data to a dashboarding app or a data storage.

**Sending Data to Dashboarding Apps**

- [Simple Data Integration to Dashboards](https://docs.dataddo.com/docs/simple-data-integration-to-dashboards)
- [Data Backfilling to Dashboarding Apps](https://docs.dataddo.com/docs/data-backfilling-to-dashboarding-apps)

**Sending Data to Data Storages**

- [Batch Ingestion to Data Warehouses](https://docs.dataddo.com/docs/ingestion-to-data-warehouses)
- [Data Backfilling to Storages](https://docs.dataddo.com/docs/data-backfilling-to-storages)

**Other Resources**

- [Troubleshooting](https://docs.dataddo.com/docs/troubleshooting)
- [Extraction Logs](https://docs.dataddo.com/docs/extraction-logs)
- [Data Duplication](https://docs.dataddo.com/docs/data-duplication)