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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.
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.
Set up a source connector to extract data from in Airbyte
Choose from one of 400 sources where you want to import data from. This can be any API tool, cloud data warehouse, database, data lake, files, among other source types. You can even build your own source connector in minutes with our no-code no-code connector builder.
Configure the connection in Airbyte
The Airbyte Open Data Movement Platform
The only open solution empowering data teams to meet growing business demands in the new AI era.
Leverage the largest catalog of connectors
Cover your custom needs with our extensibility
Free your time from maintaining connectors, with automation
- Automated schema change handling, data normalization and more
- Automated data transformation orchestration with our dbt integration
- Automated workflow with our Airflow, Dagster and Prefect integration
Reliability at every level
Ship more quickly with the only solution that fits ALL your needs.
As your tools and edge cases grow, you deserve an extensible and open ELT solution that eliminates the time you spend on building and maintaining data pipelines
Leverage the largest catalog of connectors
Cover your custom needs with our extensibility
Free your time from maintaining connectors, with automation
- Automated schema change handling, data normalization and more
- Automated data transformation orchestration with our dbt integration
- Automated workflow with our Airflow, Dagster and Prefect integration
Reliability at every level
Ship more quickly with the only solution that fits ALL your needs.
As your tools and edge cases grow, you deserve an extensible and open ELT solution that eliminates the time you spend on building and maintaining data pipelines
Leverage the largest catalog of connectors
Cover your custom needs with our extensibility
Free your time from maintaining connectors, with automation
- Automated schema change handling, data normalization and more
- Automated data transformation orchestration with our dbt integration
- Automated workflow with our Airflow, Dagster and Prefect integration
Reliability at every level
Move large volumes, fast.
Change Data Capture.
Security from source to destination.
We support the CDC methods your company needs
Log-based CDC
Timestamp-based CDC
Airbyte Open Source
Airbyte Cloud
Airbyte Enterprise
Why choose Airbyte as the backbone of your data infrastructure?
Keep your data engineering costs in check
Get Airbyte hosted where you need it to be
- Airbyte Cloud: Have it hosted by us, with all the security you need (SOC2, ISO, GDPR, HIPAA Conduit).
- Airbyte Enterprise: Have it hosted within your own infrastructure, so your data and secrets never leave it.
White-glove enterprise-level support
Including for your Airbyte Open Source instance with our premium support.
Airbyte supports a growing list of destinations, including cloud data warehouses, lakes, and databases.
Airbyte supports a growing list of destinations, including cloud data warehouses, lakes, and databases.
Airbyte supports a growing list of sources, including API tools, cloud data warehouses, lakes, databases, and files, or even custom sources you can build.
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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.
ShipHero is a cloud-based inventory management and order fulfillment software designed for e-commerce businesses. It is a comprehensive tool that helps businesses manage their inventory, orders, and shipping processes from a single platform. The software integrates with various e-commerce platforms such as Shopify, Amazon, and eBay, allowing businesses to manage their orders and inventory across multiple channels. With ShipHero, businesses can easily track their inventory levels, set reorder points, and receive alerts when stock levels are low. The software also provides real-time updates on order status, allowing businesses to keep their customers informed about their order status. ShipHero's order fulfillment feature streamlines the shipping process by automating label printing, carrier selection, and tracking. The software also provides businesses with access to discounted shipping rates from major carriers such as UPS, FedEx, and USPS. Overall, ShipHero is a powerful tool that helps e-commerce businesses manage their inventory, orders, and shipping processes efficiently. It simplifies the entire process, allowing businesses to focus on growing their business and providing excellent customer service.
1. Order data: You can extract information about orders placed on ShipHero, including order ID, customer details, shipping address, order status, and order items.
2. Inventory data: You can extract information about the inventory levels of products stored in ShipHero's warehouses, including product ID, quantity on hand, and location.
3. Shipment data: You can extract information about shipments created on ShipHero, including shipment ID, carrier details, tracking number, and shipping label.
4. Return data: You can extract information about returns processed on ShipHero, including return ID, customer details, return reason, and return status.
5. Warehouse data: You can extract information about the warehouses managed by ShipHero, including warehouse ID, location, and capacity.
6. Product data: You can extract information about the products stored in ShipHero's warehouses, including product ID, name, description, weight, and dimensions.
7. Customer data: You can extract information about customers who have placed orders on ShipHero, including customer ID, name, email address, and shipping address.
8. Payment data: You can extract information about payments made for orders placed on ShipHero, including payment ID, payment method, and transaction details.
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.
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.
ShipHero is a cloud-based inventory management and order fulfillment software designed for e-commerce businesses. It is a comprehensive tool that helps businesses manage their inventory, orders, and shipping processes from a single platform. The software integrates with various e-commerce platforms such as Shopify, Amazon, and eBay, allowing businesses to manage their orders and inventory across multiple channels. With ShipHero, businesses can easily track their inventory levels, set reorder points, and receive alerts when stock levels are low. The software also provides real-time updates on order status, allowing businesses to keep their customers informed about their order status. ShipHero's order fulfillment feature streamlines the shipping process by automating label printing, carrier selection, and tracking. The software also provides businesses with access to discounted shipping rates from major carriers such as UPS, FedEx, and USPS. Overall, ShipHero is a powerful tool that helps e-commerce businesses manage their inventory, orders, and shipping processes efficiently. It simplifies the entire process, allowing businesses to focus on growing their business and providing excellent customer service.
1. Order data: You can extract information about orders placed on ShipHero, including order ID, customer details, shipping address, order status, and order items.
2. Inventory data: You can extract information about the inventory levels of products stored in ShipHero's warehouses, including product ID, quantity on hand, and location.
3. Shipment data: You can extract information about shipments created on ShipHero, including shipment ID, carrier details, tracking number, and shipping label.
4. Return data: You can extract information about returns processed on ShipHero, including return ID, customer details, return reason, and return status.
5. Warehouse data: You can extract information about the warehouses managed by ShipHero, including warehouse ID, location, and capacity.
6. Product data: You can extract information about the products stored in ShipHero's warehouses, including product ID, name, description, weight, and dimensions.
7. Customer data: You can extract information about customers who have placed orders on ShipHero, including customer ID, name, email address, and shipping address.
8. Payment data: You can extract information about payments made for orders placed on ShipHero, including payment ID, payment method, and transaction details.
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.
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.
ShipHero is a cloud-based inventory management and order fulfillment software designed for e-commerce businesses. It is a comprehensive tool that helps businesses manage their inventory, orders, and shipping processes from a single platform. The software integrates with various e-commerce platforms such as Shopify, Amazon, and eBay, allowing businesses to manage their orders and inventory across multiple channels. With ShipHero, businesses can easily track their inventory levels, set reorder points, and receive alerts when stock levels are low. The software also provides real-time updates on order status, allowing businesses to keep their customers informed about their order status. ShipHero's order fulfillment feature streamlines the shipping process by automating label printing, carrier selection, and tracking. The software also provides businesses with access to discounted shipping rates from major carriers such as UPS, FedEx, and USPS. Overall, ShipHero is a powerful tool that helps e-commerce businesses manage their inventory, orders, and shipping processes efficiently. It simplifies the entire process, allowing businesses to focus on growing their business and providing excellent customer service.
1. Order data: You can extract information about orders placed on ShipHero, including order ID, customer details, shipping address, order status, and order items.
2. Inventory data: You can extract information about the inventory levels of products stored in ShipHero's warehouses, including product ID, quantity on hand, and location.
3. Shipment data: You can extract information about shipments created on ShipHero, including shipment ID, carrier details, tracking number, and shipping label.
4. Return data: You can extract information about returns processed on ShipHero, including return ID, customer details, return reason, and return status.
5. Warehouse data: You can extract information about the warehouses managed by ShipHero, including warehouse ID, location, and capacity.
6. Product data: You can extract information about the products stored in ShipHero's warehouses, including product ID, name, description, weight, and dimensions.
7. Customer data: You can extract information about customers who have placed orders on ShipHero, including customer ID, name, email address, and shipping address.
8. Payment data: You can extract information about payments made for orders placed on ShipHero, including payment ID, payment method, and transaction details.
1. First, navigate to the ShipHero source connector page on Airbyte.com.
2. Click on the "Create a new connection" button.
3. Enter a name for your connection and click "Next".
4. Enter your ShipHero API credentials, including your API key and API secret.
5. Click "Test connection" to ensure that your credentials are correct and that Airbyte can connect to your ShipHero account.
6. Once your connection is successful, select the data you want to replicate from ShipHero.
7. Choose the frequency at which you want Airbyte to replicate your data.
8. Click "Create connection" to finalize your ShipHero source connector on Airbyte.com.
9. You can now monitor your data replication and manage your ShipHero source connector from the Airbyte dashboard.
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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