How to load data from Amazon Seller Partner to Oracle

Learn how to use Airbyte to synchronize your Amazon Seller Partner data into Oracle within minutes.

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Set up a Amazon Seller Partner connector in Airbyte

Connect to Amazon Seller Partner or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up Oracle for your extracted Amazon Seller Partner data

Select Oracle where you want to import data from your Amazon Seller Partner source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the Amazon Seller Partner to Oracle in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

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TL;DR

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps:

  1. set up Amazon Seller Partner as a source connector (using Auth, or usually an API key)
  2. set up Oracle as a destination connector
  3. define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is Amazon Seller Partner

Amazon Selling Partner’s API (SP-API) is a much-improved iteration of Amazon Marketplace Web Service (Amazon MWS) APIs. This next generation suite offers increased automation functionality, with many new features including state-of-the-art JSON-based REST API design standards and 0Auth2.0 selling partner authorization using Login with Amazon. With this generation of updates, Amazon Selling Partners continues to deliver reliable programmatic access to essential Amazon features, in the same tradition their customers have come to expect for over 10 years.

What is Oracle

An integrated cloud application and platform service, Oracle offers an array of enterprise information technology solutions. Other company offerings include software-as-a-service (SaaS), platform-as-a-service (PaaS, and infrastructure-as-a-service (IaaS). The Oracle Cloud Infrastructure provides companies the convenience of the public cloud combined with the security and control of on-premises infrastructure. Oracle Cloud Applications help companies streamline their business processes, increase productivity and reduce costs with software applications such as Project Portfolio Management, ERP Financials, Procurement, and more.

Integrate Amazon Seller Partner with Oracle in minutes

Try for free now

Prerequisites

  1. A Amazon Seller Partner account to transfer your customer data automatically from.
  2. A Oracle account.
  3. An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including Amazon Seller Partner and Oracle, for seamless data migration.

When using Airbyte to move data from Amazon Seller Partner to Oracle, it extracts data from Amazon Seller Partner using the source connector, converts it into a format Oracle can ingest using the provided schema, and then loads it into Oracle via the destination connector. This allows businesses to leverage their Amazon Seller Partner data for advanced analytics and insights within Oracle, simplifying the ETL process and saving significant time and resources.

Step 1: Set up Amazon Seller Partner as a source connector

1. Open the Airbyte platform and navigate to the "Sources" tab on the left-hand side of the screen.

2. Click on the "Amazon Seller Partner" source connector and select "Create new connection."

3. Enter a name for your connection and click "Next."

4. Enter your Amazon Seller Partner credentials, including your Seller ID, MWS Auth Token, and Marketplace ID.

5. Click "Test" to ensure that your credentials are correct and that Airbyte can connect to your Amazon Seller Partner account.

6. Once the test is successful, click "Save" to save your connection.

7. You can now select your Amazon Seller Partner connection from the list of sources and configure your sync settings, including selecting the tables you want to sync and setting up any filters or transformations.

8. Once you have configured your sync settings, click "Save" to save your configuration.

9. You can now run your sync manually or schedule it to run automatically at regular intervals.

Step 2: Set up Oracle as a destination connector

1. First, ensure that you have the necessary credentials to access your Oracle DB. This includes the hostname, port number, database name, username, and password.
2. Open the Airbyte platform and navigate to the "Destinations" tab on the left-hand side of the screen.
3. Scroll down until you find the "Oracle DB" destination connector and click on it.
4. Click on the "Create new connection" button to begin setting up your Oracle DB destination.
5. Enter a name for your connection and fill in the required fields with your Oracle DB credentials.
6. Test the connection to ensure that Airbyte can successfully connect to your Oracle DB.
7. Once the connection is successful, you can configure the settings for your Oracle DB destination. This includes selecting the tables you want to sync, setting up any transformations or mappings, and scheduling the sync frequency.
8. Save your settings and start the sync process. Airbyte will begin pulling data from your source and pushing it to your Oracle DB destination.
9. Monitor the sync process to ensure that it is running smoothly and troubleshoot any issues that may arise.
10. Once the sync is complete, you can access your data in your Oracle DB and use it for analysis, reporting, or any other purposes.

Step 3: Set up a connection to sync your Amazon Seller Partner data to Oracle

Once you've successfully connected Amazon Seller Partner as a data source and Oracle as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

  1. Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
  2. Choose your source: Select Amazon Seller Partner from the dropdown list of your configured sources.
  3. Select your destination: Choose Oracle from the dropdown list of your configured destinations.
  4. Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
  5. Select the data to sync: Choose the specific Amazon Seller Partner objects you want to import data from towards Oracle. You can sync all data or select specific tables and fields.
  6. Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
  7. Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
  8. Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Amazon Seller Partner to Oracle according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Oracle data warehouse is always up-to-date with your Amazon Seller Partner data.

Use Cases to transfer your Amazon Seller Partner data to Oracle

Integrating data from Amazon Seller Partner to Oracle provides several benefits. Here are a few use cases:

  1. Advanced Analytics: Oracle’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Amazon Seller Partner data, extracting insights that wouldn't be possible within Amazon Seller Partner alone.
  2. Data Consolidation: If you're using multiple other sources along with Amazon Seller Partner, syncing to Oracle allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
  3. Historical Data Analysis: Amazon Seller Partner has limits on historical data. Syncing data to Oracle allows for long-term data retention and analysis of historical trends over time.
  4. Data Security and Compliance: Oracle provides robust data security features. Syncing Amazon Seller Partner data to Oracle ensures your data is secured and allows for advanced data governance and compliance management.
  5. Scalability: Oracle can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Amazon Seller Partner data.
  6. Data Science and Machine Learning: By having Amazon Seller Partner data in Oracle, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
  7. Reporting and Visualization: While Amazon Seller Partner provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Oracle, providing more advanced business intelligence options. If you have a Amazon Seller Partner table that needs to be converted to a Oracle table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

  1. Configure a Amazon Seller Partner account as an Airbyte data source connector.
  2. Configure Oracle as a data destination connector.
  3. Create an Airbyte data pipeline that will automatically be moving data directly from Amazon Seller Partner to Oracle after you set a schedule

With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.

We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

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Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
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Sync with Airbyte

How to Sync Amazon Seller Partner to Oracle Manually

FAQs

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

Amazon Selling Partner’s API (SP-API) is a much-improved iteration of Amazon Marketplace Web Service (Amazon MWS) APIs. This next generation suite offers increased automation functionality, with many new features including state-of-the-art JSON-based REST API design standards and 0Auth2.0 selling partner authorization using Login with Amazon. With this generation of updates, Amazon Selling Partners continues to deliver reliable programmatic access to essential Amazon features, in the same tradition their customers have come to expect for over 10 years.

Amazon Seller Partner's API provides access to a wide range of data related to Amazon seller accounts. The API allows developers to retrieve data related to orders, products, inventory, and pricing. Here are the categories of data that the API provides access to:  

1. Orders: The API provides access to order details such as order ID, order status, shipping address, payment information, and order items.  

2. Products: The API provides access to product details such as product ID, product title, product description, product images, and product variations.  

3. Inventory: The API provides access to inventory details such as inventory levels, inventory status, and inventory updates.  

4. Pricing: The API provides access to pricing details such as product prices, discounts, and promotions.  

5. Fulfillment: The API provides access to fulfillment details such as shipment tracking information, shipping labels, and fulfillment status.  

6. Reports: The API provides access to various reports such as sales reports, inventory reports, and financial reports.  

Overall, the Amazon Seller Partner's API provides a comprehensive set of data that can help sellers manage their Amazon business more effectively.

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps: 
1. Set up Amazon Seller Partner to Oracle DB as a source connector (using Auth, or usually an API key)
2. Choose a destination (more than 50 available destination databases, data warehouses or lakes) to sync data too and set it up as a destination connector
3. Define which data you want to transfer from Amazon Seller Partner to Oracle DB and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud. 

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

Databases
Finance & Ops Analytics

How to load data from Amazon Seller Partner to Oracle

Learn how to use Airbyte to synchronize your Amazon Seller Partner data into Oracle within minutes.

TL;DR

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps:

  1. set up Amazon Seller Partner as a source connector (using Auth, or usually an API key)
  2. set up Oracle as a destination connector
  3. define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is Amazon Seller Partner

Amazon Selling Partner’s API (SP-API) is a much-improved iteration of Amazon Marketplace Web Service (Amazon MWS) APIs. This next generation suite offers increased automation functionality, with many new features including state-of-the-art JSON-based REST API design standards and 0Auth2.0 selling partner authorization using Login with Amazon. With this generation of updates, Amazon Selling Partners continues to deliver reliable programmatic access to essential Amazon features, in the same tradition their customers have come to expect for over 10 years.

What is Oracle

An integrated cloud application and platform service, Oracle offers an array of enterprise information technology solutions. Other company offerings include software-as-a-service (SaaS), platform-as-a-service (PaaS, and infrastructure-as-a-service (IaaS). The Oracle Cloud Infrastructure provides companies the convenience of the public cloud combined with the security and control of on-premises infrastructure. Oracle Cloud Applications help companies streamline their business processes, increase productivity and reduce costs with software applications such as Project Portfolio Management, ERP Financials, Procurement, and more.

Integrate Amazon Seller Partner with Oracle in minutes

Try for free now

Prerequisites

  1. A Amazon Seller Partner account to transfer your customer data automatically from.
  2. A Oracle account.
  3. An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including Amazon Seller Partner and Oracle, for seamless data migration.

When using Airbyte to move data from Amazon Seller Partner to Oracle, it extracts data from Amazon Seller Partner using the source connector, converts it into a format Oracle can ingest using the provided schema, and then loads it into Oracle via the destination connector. This allows businesses to leverage their Amazon Seller Partner data for advanced analytics and insights within Oracle, simplifying the ETL process and saving significant time and resources.

Step 1: Set up Amazon Seller Partner as a source connector

1. Open the Airbyte platform and navigate to the "Sources" tab on the left-hand side of the screen.

2. Click on the "Amazon Seller Partner" source connector and select "Create new connection."

3. Enter a name for your connection and click "Next."

4. Enter your Amazon Seller Partner credentials, including your Seller ID, MWS Auth Token, and Marketplace ID.

5. Click "Test" to ensure that your credentials are correct and that Airbyte can connect to your Amazon Seller Partner account.

6. Once the test is successful, click "Save" to save your connection.

7. You can now select your Amazon Seller Partner connection from the list of sources and configure your sync settings, including selecting the tables you want to sync and setting up any filters or transformations.

8. Once you have configured your sync settings, click "Save" to save your configuration.

9. You can now run your sync manually or schedule it to run automatically at regular intervals.

Step 2: Set up Oracle as a destination connector

1. First, ensure that you have the necessary credentials to access your Oracle DB. This includes the hostname, port number, database name, username, and password.
2. Open the Airbyte platform and navigate to the "Destinations" tab on the left-hand side of the screen.
3. Scroll down until you find the "Oracle DB" destination connector and click on it.
4. Click on the "Create new connection" button to begin setting up your Oracle DB destination.
5. Enter a name for your connection and fill in the required fields with your Oracle DB credentials.
6. Test the connection to ensure that Airbyte can successfully connect to your Oracle DB.
7. Once the connection is successful, you can configure the settings for your Oracle DB destination. This includes selecting the tables you want to sync, setting up any transformations or mappings, and scheduling the sync frequency.
8. Save your settings and start the sync process. Airbyte will begin pulling data from your source and pushing it to your Oracle DB destination.
9. Monitor the sync process to ensure that it is running smoothly and troubleshoot any issues that may arise.
10. Once the sync is complete, you can access your data in your Oracle DB and use it for analysis, reporting, or any other purposes.

Step 3: Set up a connection to sync your Amazon Seller Partner data to Oracle

Once you've successfully connected Amazon Seller Partner as a data source and Oracle as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

  1. Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
  2. Choose your source: Select Amazon Seller Partner from the dropdown list of your configured sources.
  3. Select your destination: Choose Oracle from the dropdown list of your configured destinations.
  4. Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
  5. Select the data to sync: Choose the specific Amazon Seller Partner objects you want to import data from towards Oracle. You can sync all data or select specific tables and fields.
  6. Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
  7. Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
  8. Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Amazon Seller Partner to Oracle according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Oracle data warehouse is always up-to-date with your Amazon Seller Partner data.

Use Cases to transfer your Amazon Seller Partner data to Oracle

Integrating data from Amazon Seller Partner to Oracle provides several benefits. Here are a few use cases:

  1. Advanced Analytics: Oracle’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Amazon Seller Partner data, extracting insights that wouldn't be possible within Amazon Seller Partner alone.
  2. Data Consolidation: If you're using multiple other sources along with Amazon Seller Partner, syncing to Oracle allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
  3. Historical Data Analysis: Amazon Seller Partner has limits on historical data. Syncing data to Oracle allows for long-term data retention and analysis of historical trends over time.
  4. Data Security and Compliance: Oracle provides robust data security features. Syncing Amazon Seller Partner data to Oracle ensures your data is secured and allows for advanced data governance and compliance management.
  5. Scalability: Oracle can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Amazon Seller Partner data.
  6. Data Science and Machine Learning: By having Amazon Seller Partner data in Oracle, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
  7. Reporting and Visualization: While Amazon Seller Partner provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Oracle, providing more advanced business intelligence options. If you have a Amazon Seller Partner table that needs to be converted to a Oracle table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

  1. Configure a Amazon Seller Partner account as an Airbyte data source connector.
  2. Configure Oracle as a data destination connector.
  3. Create an Airbyte data pipeline that will automatically be moving data directly from Amazon Seller Partner to Oracle after you set a schedule

With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.

We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

flag icon
Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
Get started with Airbyte for free
high five icon
Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
Talk to sales
stars sparkling
Improve your data infrastructure knowledge
Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
Subscribe to newsletter

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

flag icon
Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
Get started with Airbyte for free
high five icon
Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
Talk to sales
stars sparkling
Improve your data infrastructure knowledge
Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
Subscribe to newsletter

Frequently Asked Questions

What data can you extract from Amazon Seller Partner?

Amazon Seller Partner's API provides access to a wide range of data related to Amazon seller accounts. The API allows developers to retrieve data related to orders, products, inventory, and pricing. Here are the categories of data that the API provides access to:  

1. Orders: The API provides access to order details such as order ID, order status, shipping address, payment information, and order items.  

2. Products: The API provides access to product details such as product ID, product title, product description, product images, and product variations.  

3. Inventory: The API provides access to inventory details such as inventory levels, inventory status, and inventory updates.  

4. Pricing: The API provides access to pricing details such as product prices, discounts, and promotions.  

5. Fulfillment: The API provides access to fulfillment details such as shipment tracking information, shipping labels, and fulfillment status.  

6. Reports: The API provides access to various reports such as sales reports, inventory reports, and financial reports.  

Overall, the Amazon Seller Partner's API provides a comprehensive set of data that can help sellers manage their Amazon business more effectively.

What data can you transfer to Oracle?

You can transfer a wide variety of data to Oracle. This usually includes structured, semi-structured, and unstructured data like transaction records, log files, JSON data, CSV files, and more, allowing robust, scalable data integration and analysis.

What are top ETL tools to transfer data from Amazon Seller Partner to Oracle?

The most prominent ETL tools to transfer data from Amazon Seller Partner to Oracle include:

  • Airbyte
  • Fivetran
  • Stitch
  • Matillion
  • Talend Data Integration

These tools help in extracting data from Amazon Seller Partner and various sources (APIs, databases, and more), transforming it efficiently, and loading it into Oracle and other databases, data warehouses and data lakes, enhancing data management capabilities.

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

flag icon
Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
Get started with Airbyte for free
high five icon
Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
Talk to sales
stars sparkling
Improve your data infrastructure knowledge
Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
Subscribe to newsletter