How to load data from PrestaShop to AWS Datalake

Learn how to use Airbyte to synchronize your PrestaShop data into AWS Datalake within minutes.

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Set up a PrestaShop connector in Airbyte

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

Set up AWS Datalake for your extracted PrestaShop data

Select AWS Datalake where you want to import data from your PrestaShop source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the PrestaShop to AWS Datalake 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

set up PrestaShop as a source connector (using Auth, or usually an API key)
set up AWS Datalake as a destination connector
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 PrestaShop

PrestaShop is an open-source e-commerce platform whose cutting-edge technology powers over 300,000 e-commerce businesses globally. The PrestaShop mission is to allow the open-source community to “put their heads together” to develop superior eCommerce software—which they achieved in 2016, winning CMS Critic Award for Best eCommerce Software. The perfect solution for creating and growing an online business, PrestaShop provides all the features needed to achieve success.

What is AWS Datalake

An AWS Data Lake is a centralized repository that allows you to store all your structured and unstructured data at any scale. It is designed to handle massive amounts of data from various sources, such as databases, applications, IoT devices, and more. With AWS Data Lake, you can easily ingest, store, catalog, process, and analyze data using a wide range of AWS services like Amazon S3, Amazon Athena, AWS Glue, and Amazon EMR. This allows you to build data lakes for machine learning, big data analytics, and data warehousing workloads. AWS Data Lake provides a secure, scalable, and cost-effective solution for managing your organization's data.

Integrate PrestaShop with AWS Datalake in minutes

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Prerequisites

A PrestaShop account to transfer your customer data automatically from.
A AWS Datalake account.
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 PrestaShop and AWS Datalake, for seamless data migration.

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

Step 1: Set up PrestaShop as a source connector

1. First, you need to obtain the necessary credentials to connect your PrestaShop source connector. This includes your PrestaShop URL, API key, and API secret key. You can find these credentials in your PrestaShop account under the "Advanced Parameters" tab.
2. Once you have your credentials, open the Airbyte dashboard and click on "Sources" in the left-hand menu.
3. Click on the "Create a new connection" button and select "PrestaShop" from the list of available connectors.
4. In the "Connection Configuration" page, enter your PrestaShop URL, API key, and API secret key in the appropriate fields.
5. Click on the "Test" button to ensure that your credentials are correct and that Airbyte can connect to your PrestaShop account.
6. If the test is successful, click on the "Save & Continue" button to proceed to the next step.
7. In the "Schema Selection" page, select the tables that you want to replicate from your PrestaShop account.
8. Click on the "Save & Continue" button to proceed to the final step.
9. In the "Sync Configuration" page, configure the replication settings for your PrestaShop data. This includes the frequency of data replication, the destination for your data, and any transformations that you want to apply to your data.
10. Click on the "Save & Test" button to finalize your PrestaShop source connector configuration. Your data will now be replicated from your PrestaShop account to your destination according to your configured settings.

Step 2: Set up AWS Datalake as a destination connector

1. Log in to your AWS account and navigate to the AWS Management Console.
2. Click on the S3 service and create a new bucket where you will store your data.
3. Create an IAM user with the necessary permissions to access the S3 bucket. Make sure to save the access key and secret key.
4. Open Airbyte and navigate to the Destinations tab.
5. Select the AWS Datalake destination connector and click on "Create new connection".
6. Enter a name for your connection and paste the access key and secret key you saved earlier.
7. Enter the name of the S3 bucket you created in step 2 and select the region where it is located.
8. Choose the format in which you want your data to be stored in the S3 bucket (e.g. CSV, JSON, Parquet).
9. Configure any additional settings, such as compression or encryption, if necessary.
10. Test the connection to make sure it is working properly.
11. Save the connection and start syncing your data to the AWS Datalake.

Step 3: Set up a connection to sync your PrestaShop data to AWS Datalake

Once you've successfully connected PrestaShop as a data source and AWS Datalake as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select PrestaShop from the dropdown list of your configured sources.
Select your destination: Choose AWS Datalake from the dropdown list of your configured destinations.
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.
Select the data to sync: Choose the specific PrestaShop objects you want to import data from towards AWS Datalake. You can sync all data or select specific tables and fields.
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.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from PrestaShop to AWS Datalake according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your AWS Datalake data warehouse is always up-to-date with your PrestaShop data.

Use Cases to transfer your PrestaShop data to AWS Datalake

Integrating data from PrestaShop to AWS Datalake provides several benefits. Here are a few use cases:

Advanced Analytics: AWS Datalake’s powerful data processing capabilities enable you to perform complex queries and data analysis on your PrestaShop data, extracting insights that wouldn't be possible within PrestaShop alone.
Data Consolidation: If you're using multiple other sources along with PrestaShop, syncing to AWS Datalake 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.
Historical Data Analysis: PrestaShop has limits on historical data. Syncing data to AWS Datalake allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: AWS Datalake provides robust data security features. Syncing PrestaShop data to AWS Datalake ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: AWS Datalake can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding PrestaShop data.
Data Science and Machine Learning: By having PrestaShop data in AWS Datalake, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While PrestaShop provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to AWS Datalake, providing more advanced business intelligence options. If you have a PrestaShop table that needs to be converted to a AWS Datalake table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

Configure a PrestaShop account as an Airbyte data source connector.
Configure AWS Datalake as a data destination connector.
Create an Airbyte data pipeline that will automatically be moving data directly from PrestaShop to AWS Datalake 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!

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Sync with Airbyte

Step 1: Set up PrestaShop as a source connector

Step 2: Set up AWS Datalake as a destination connector

Step 3: Set up a connection to sync your PrestaShop data to AWS Datalake

Once you've successfully connected PrestaShop as a data source and AWS Datalake as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select PrestaShop from the dropdown list of your configured sources.
Select your destination: Choose AWS Datalake from the dropdown list of your configured destinations.
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.
Select the data to sync: Choose the specific PrestaShop objects you want to import data from towards AWS Datalake. You can sync all data or select specific tables and fields.
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.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from PrestaShop to AWS Datalake according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your AWS Datalake data warehouse is always up-to-date with your PrestaShop data.

How to Sync PrestaShop to AWS Datalake Manually

Step 1:

Step 2:

Step 3:

Step 4:

Step 5:

Step 6:

Step 7:

Step 8:

FAQs

What is ETL?

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.

What is PrestaShop?

What data can you extract from PrestaShop?

PrestaShop's API provides access to a wide range of data related to e-commerce stores. The following are the categories of data that can be accessed through PrestaShop's API:

1. Products: Information related to products such as name, description, price, stock, images, and categories.
2. Customers: Data related to customers such as name, email, address, and order history.
3. Orders: Information related to orders such as order number, customer details, products ordered, and payment information.
4. Categories: Data related to product categories such as name, description, and parent categories.
5. Manufacturers: Information related to manufacturers such as name, description, and logo.
6. Suppliers: Data related to suppliers such as name, address, and contact information.
7. Carriers: Information related to shipping carriers such as name, description, and shipping rates.
8. Employees: Data related to employees such as name, email, and access permissions.
9. Languages: Information related to languages used in the store such as name, code, and translations.
10. Currencies: Data related to currencies used in the store such as name, code, and exchange rates.

How do I transfer data from PrestaShop?

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 PrestaShop to AWS Datalake 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 PrestaShop to AWS Datalake and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

What is ELT?

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.

Difference between ETL and ELT?

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.

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Warehouses and Lakes

Finance & Ops Analytics

How to load data from PrestaShop to AWS Datalake

Learn how to use Airbyte to synchronize your PrestaShop data into AWS Datalake within minutes.

Try Airbyte Cloud free

Deploy Airbyte Open Source

Step 1: Setup PrestaShop

Step 2: Setup AWS Datalake

Step 3: Setup a connection Use Cases Wrapping Up

Example H2

Example H3

Sync data between PrestaShop and AWS Datalake

Get your data syncing in minutes

Try Airbyte free

TL;DR

set up PrestaShop as a source connector (using Auth, or usually an API key)
set up AWS Datalake as a destination connector
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 PrestaShop

What is AWS Datalake

Integrate PrestaShop with AWS Datalake in minutes

Try for free now

Prerequisites

A PrestaShop account to transfer your customer data automatically from.
A AWS Datalake account.
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.

Step 1: Set up PrestaShop as a source connector

Step 2: Set up AWS Datalake as a destination connector

Step 3: Set up a connection to sync your PrestaShop data to AWS Datalake

Once you've successfully connected PrestaShop as a data source and AWS Datalake as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select PrestaShop from the dropdown list of your configured sources.
Select your destination: Choose AWS Datalake from the dropdown list of your configured destinations.
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.
Select the data to sync: Choose the specific PrestaShop objects you want to import data from towards AWS Datalake. You can sync all data or select specific tables and fields.
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.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from PrestaShop to AWS Datalake according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your AWS Datalake data warehouse is always up-to-date with your PrestaShop data.

Use Cases to transfer your PrestaShop data to AWS Datalake

Integrating data from PrestaShop to AWS Datalake provides several benefits. Here are a few use cases:

Advanced Analytics: AWS Datalake’s powerful data processing capabilities enable you to perform complex queries and data analysis on your PrestaShop data, extracting insights that wouldn't be possible within PrestaShop alone.
Data Consolidation: If you're using multiple other sources along with PrestaShop, syncing to AWS Datalake 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.
Historical Data Analysis: PrestaShop has limits on historical data. Syncing data to AWS Datalake allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: AWS Datalake provides robust data security features. Syncing PrestaShop data to AWS Datalake ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: AWS Datalake can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding PrestaShop data.
Data Science and Machine Learning: By having PrestaShop data in AWS Datalake, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While PrestaShop provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to AWS Datalake, providing more advanced business intelligence options. If you have a PrestaShop table that needs to be converted to a AWS Datalake table, Airbyte can do that automatically.