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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.
The Trade Desk is a demand-side platform (DSP) that provides advertisers with a comprehensive suite of tools to manage and optimize their digital advertising campaigns. The platform allows advertisers to buy and manage programmatic advertising across multiple channels, including display, video, mobile, native, and audio. The Trade Desk offers a range of targeting options, including demographic, geographic, behavioral, contextual, and device-specific targeting. The platform also provides real-time bidding (RTB) capabilities, allowing advertisers to bid on ad inventory in real-time and optimize their campaigns based on performance data. The Trade Desk's user-friendly interface and advanced reporting capabilities make it easy for advertisers to track and analyze their campaign performance. The platform also offers a range of integrations with third-party data providers, allowing advertisers to access additional data and insights to inform their targeting and optimization strategies. Overall, The Trade Desk is a powerful tool for advertisers looking to streamline their programmatic advertising efforts and maximize their return on investment.
1. Campaign data: The Trade Desk's API allows you to extract data related to your campaigns, including campaign name, start and end dates, budget, and targeting parameters.
2. Ad group data: You can also extract data related to your ad groups, including ad group name, targeting parameters, and performance metrics.
3. Creative data: The API allows you to extract data related to your creatives, including creative type, size, and performance metrics.
4. Audience data: You can extract data related to your audience targeting, including audience segments used, performance metrics, and demographic data.
5. Performance data: The API provides detailed performance data for your campaigns, ad groups, and creatives, including impressions, clicks, conversions, and cost data.
6. Inventory data: You can extract data related to the inventory used in your campaigns, including publisher sites, ad formats, and performance metrics.
7. Geographic data: The API allows you to extract data related to the geographic targeting used in your campaigns, including country, region, and city-level data.
8. Device data: You can extract data related to the devices used in your campaigns, including device type, operating system, and performance metrics.
9. Time-based data: The API provides data related to the time of day and day of week performance of your campaigns, ad groups, and creatives.
10. Custom data: The API allows you to extract custom data points that you have defined within The Trade Desk platform, such as custom metrics or dimensions.
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.
The Trade Desk is a demand-side platform (DSP) that provides advertisers with a comprehensive suite of tools to manage and optimize their digital advertising campaigns. The platform allows advertisers to buy and manage programmatic advertising across multiple channels, including display, video, mobile, native, and audio. The Trade Desk offers a range of targeting options, including demographic, geographic, behavioral, contextual, and device-specific targeting. The platform also provides real-time bidding (RTB) capabilities, allowing advertisers to bid on ad inventory in real-time and optimize their campaigns based on performance data. The Trade Desk's user-friendly interface and advanced reporting capabilities make it easy for advertisers to track and analyze their campaign performance. The platform also offers a range of integrations with third-party data providers, allowing advertisers to access additional data and insights to inform their targeting and optimization strategies. Overall, The Trade Desk is a powerful tool for advertisers looking to streamline their programmatic advertising efforts and maximize their return on investment.
1. Campaign data: The Trade Desk's API allows you to extract data related to your campaigns, including campaign name, start and end dates, budget, and targeting parameters.
2. Ad group data: You can also extract data related to your ad groups, including ad group name, targeting parameters, and performance metrics.
3. Creative data: The API allows you to extract data related to your creatives, including creative type, size, and performance metrics.
4. Audience data: You can extract data related to your audience targeting, including audience segments used, performance metrics, and demographic data.
5. Performance data: The API provides detailed performance data for your campaigns, ad groups, and creatives, including impressions, clicks, conversions, and cost data.
6. Inventory data: You can extract data related to the inventory used in your campaigns, including publisher sites, ad formats, and performance metrics.
7. Geographic data: The API allows you to extract data related to the geographic targeting used in your campaigns, including country, region, and city-level data.
8. Device data: You can extract data related to the devices used in your campaigns, including device type, operating system, and performance metrics.
9. Time-based data: The API provides data related to the time of day and day of week performance of your campaigns, ad groups, and creatives.
10. Custom data: The API allows you to extract custom data points that you have defined within The Trade Desk platform, such as custom metrics or dimensions.
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.
The Trade Desk is a demand-side platform (DSP) that provides advertisers with a comprehensive suite of tools to manage and optimize their digital advertising campaigns. The platform allows advertisers to buy and manage programmatic advertising across multiple channels, including display, video, mobile, native, and audio. The Trade Desk offers a range of targeting options, including demographic, geographic, behavioral, contextual, and device-specific targeting. The platform also provides real-time bidding (RTB) capabilities, allowing advertisers to bid on ad inventory in real-time and optimize their campaigns based on performance data. The Trade Desk's user-friendly interface and advanced reporting capabilities make it easy for advertisers to track and analyze their campaign performance. The platform also offers a range of integrations with third-party data providers, allowing advertisers to access additional data and insights to inform their targeting and optimization strategies. Overall, The Trade Desk is a powerful tool for advertisers looking to streamline their programmatic advertising efforts and maximize their return on investment.
1. Campaign data: The Trade Desk's API allows you to extract data related to your campaigns, including campaign name, start and end dates, budget, and targeting parameters.
2. Ad group data: You can also extract data related to your ad groups, including ad group name, targeting parameters, and performance metrics.
3. Creative data: The API allows you to extract data related to your creatives, including creative type, size, and performance metrics.
4. Audience data: You can extract data related to your audience targeting, including audience segments used, performance metrics, and demographic data.
5. Performance data: The API provides detailed performance data for your campaigns, ad groups, and creatives, including impressions, clicks, conversions, and cost data.
6. Inventory data: You can extract data related to the inventory used in your campaigns, including publisher sites, ad formats, and performance metrics.
7. Geographic data: The API allows you to extract data related to the geographic targeting used in your campaigns, including country, region, and city-level data.
8. Device data: You can extract data related to the devices used in your campaigns, including device type, operating system, and performance metrics.
9. Time-based data: The API provides data related to the time of day and day of week performance of your campaigns, ad groups, and creatives.
10. Custom data: The API allows you to extract custom data points that you have defined within The Trade Desk platform, such as custom metrics or dimensions.
1. First, navigate to the Airbyte dashboard and click on "Sources" in the left-hand menu.
2. Click on "New Source" and select "The Trade Desk" from the list of available connectors.
3. Enter a name for your connector and click "Next".
4. Enter your The Trade Desk API credentials, including your Client ID, Client Secret, and Refresh Token. You can find these credentials in your The Trade Desk account under "API Access".
5. Click "Test" to ensure that your credentials are valid and that Airbyte can connect to your The Trade Desk account.
6. Once your credentials have been verified, select the data you want to replicate from The Trade Desk. You can choose from a variety of tables, including Campaigns, Ad Groups, and Creatives.
7. Configure any additional settings, such as the replication frequency and the destination where you want to send your data.
8. Click "Create Source" to save your configuration and start replicating data from The Trade Desk to your destination.
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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