Top companies trust Airbyte to centralize their Data
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 300+ 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 connector builder.
Configure the connection in Airbyte
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
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.
Fnatic, based out of London, is the world's leading esports organization, with a winning legacy of 16 years and counting in over 28 different titles, generating over 13m USD in prize money. Fnatic has an engaged follower base of 14m across their social media platforms and hundreds of millions of people watch their teams compete in League of Legends, CS:GO, Dota 2, Rainbow Six Siege, and many more titles every year.
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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 Guardian API determines to query and download data from this publication's database. The Guardian API source can sync data from the The Guardian. The Guardian API integrations with key benefits administration platforms exclude the complexity of plan setup and data exchange while ensuring speed and accuracy. It builds incredible apps with our rich archive of content. The Guardian API generally stores all articles, images, audio and videos dating back to 1999.
The Guardian API provides access to a wide range of data related to news and media. The types of data that can be accessed through the API can be broadly categorized as follows:
1. News articles: The API provides access to news articles published by The Guardian, including text, images, and multimedia content.
2. Tags: The API provides access to tags associated with news articles, which can be used to categorize and filter content.
3. Sections: The API provides access to sections of The Guardian website, such as news, sport, and culture.
4. Contributors: The API provides access to information about contributors to The Guardian, including authors, editors, and photographers.
5. Comments: The API provides access to comments posted by readers on news articles published by The Guardian.
6. User data: The API provides access to user data, such as user profiles and preferences, for users who have registered with The Guardian website.
Overall, The Guardian API provides a rich source of data for developers and researchers interested in news and media.
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 Guardian API determines to query and download data from this publication's database. The Guardian API source can sync data from the The Guardian. The Guardian API integrations with key benefits administration platforms exclude the complexity of plan setup and data exchange while ensuring speed and accuracy. It builds incredible apps with our rich archive of content. The Guardian API generally stores all articles, images, audio and videos dating back to 1999.
The Guardian API provides access to a wide range of data related to news and media. The types of data that can be accessed through the API can be broadly categorized as follows:
1. News articles: The API provides access to news articles published by The Guardian, including text, images, and multimedia content.
2. Tags: The API provides access to tags associated with news articles, which can be used to categorize and filter content.
3. Sections: The API provides access to sections of The Guardian website, such as news, sport, and culture.
4. Contributors: The API provides access to information about contributors to The Guardian, including authors, editors, and photographers.
5. Comments: The API provides access to comments posted by readers on news articles published by The Guardian.
6. User data: The API provides access to user data, such as user profiles and preferences, for users who have registered with The Guardian website.
Overall, The Guardian API provides a rich source of data for developers and researchers interested in news and media.
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 Guardian API determines to query and download data from this publication's database. The Guardian API source can sync data from the The Guardian. The Guardian API integrations with key benefits administration platforms exclude the complexity of plan setup and data exchange while ensuring speed and accuracy. It builds incredible apps with our rich archive of content. The Guardian API generally stores all articles, images, audio and videos dating back to 1999.
The Guardian API provides access to a wide range of data related to news and media. The types of data that can be accessed through the API can be broadly categorized as follows:
1. News articles: The API provides access to news articles published by The Guardian, including text, images, and multimedia content.
2. Tags: The API provides access to tags associated with news articles, which can be used to categorize and filter content.
3. Sections: The API provides access to sections of The Guardian website, such as news, sport, and culture.
4. Contributors: The API provides access to information about contributors to The Guardian, including authors, editors, and photographers.
5. Comments: The API provides access to comments posted by readers on news articles published by The Guardian.
6. User data: The API provides access to user data, such as user profiles and preferences, for users who have registered with The Guardian website.
Overall, The Guardian API provides a rich source of data for developers and researchers interested in news and media.
1. First, navigate to the Airbyte dashboard and click on "Sources" on the left-hand side of the screen.
2. Click on "Create New Source" and select "The Guardian API" from the list of available connectors.
3. Enter a name for your source and click "Next".
4. In the "Connection Configuration" section, enter your API key for The Guardian API in the "API Key" field.
5. In the "Stream Configuration" section, select the streams you want to replicate from The Guardian API.
6. Click "Test" to ensure that your credentials are valid and that Airbyte can connect to The Guardian API.
7. If the test is successful, click "Create" to save your source configuration.
8. You can now use this source to replicate data from The Guardian API to your destination of choice.
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.
