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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.
1. Event details: The Calendly API allows you to extract details about scheduled events, including the event type, start and end times, and location.
2. Participant information: You can also extract information about the participants in each event, including their name, email address, and any custom fields you have set up.
3. Scheduling preferences: Calendly's API allows you to extract information about your scheduling preferences, such as your availability, time zone, and preferred meeting length.
4. User account information: You can also extract information about your Calendly user account, including your name, email address, and account settings.
5. Analytics data: The Calendly API provides access to analytics data, such as the number of events scheduled, the number of participants, and the conversion rate of your scheduling links.
6. Integration data: If you have integrated Calendly with other tools, such as your CRM or marketing automation platform, you can extract data about those integrations, such as the number of leads generated or the number of meetings scheduled through each integration.
7. Custom fields: If you have set up custom fields in Calendly, you can extract data about those fields, such as the responses provided by participants.
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.
1. Event details: The Calendly API allows you to extract details about scheduled events, including the event type, start and end times, and location.
2. Participant information: You can also extract information about the participants in each event, including their name, email address, and any custom fields you have set up.
3. Scheduling preferences: Calendly's API allows you to extract information about your scheduling preferences, such as your availability, time zone, and preferred meeting length.
4. User account information: You can also extract information about your Calendly user account, including your name, email address, and account settings.
5. Analytics data: The Calendly API provides access to analytics data, such as the number of events scheduled, the number of participants, and the conversion rate of your scheduling links.
6. Integration data: If you have integrated Calendly with other tools, such as your CRM or marketing automation platform, you can extract data about those integrations, such as the number of leads generated or the number of meetings scheduled through each integration.
7. Custom fields: If you have set up custom fields in Calendly, you can extract data about those fields, such as the responses provided by participants.
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.
1. Event details: The Calendly API allows you to extract details about scheduled events, including the event type, start and end times, and location.
2. Participant information: You can also extract information about the participants in each event, including their name, email address, and any custom fields you have set up.
3. Scheduling preferences: Calendly's API allows you to extract information about your scheduling preferences, such as your availability, time zone, and preferred meeting length.
4. User account information: You can also extract information about your Calendly user account, including your name, email address, and account settings.
5. Analytics data: The Calendly API provides access to analytics data, such as the number of events scheduled, the number of participants, and the conversion rate of your scheduling links.
6. Integration data: If you have integrated Calendly with other tools, such as your CRM or marketing automation platform, you can extract data about those integrations, such as the number of leads generated or the number of meetings scheduled through each integration.
7. Custom fields: If you have set up custom fields in Calendly, you can extract data about those fields, such as the responses provided by participants.
1. First, navigate to the Calendly source connector page on Airbyte.com.
2. Click on the "Create new connection" button.
3. In the "Connection Configuration" section, enter a name for your connection.
4. In the "Authentication" section, enter your Calendly API key. You can find your API key by logging into your Calendly account, navigating to "Integrations" in the settings menu, and selecting "API Keys".
5. In the "Sync Schema" section, select the data you want to sync from Calendly. You can choose from events, invitee questions, invitee links, and more.
6. In the "Advanced" section, you can customize your sync settings, such as the sync frequency and the number of records to sync per batch.
7. Once you have entered all the necessary information, click on the "Check connection" button to ensure that your credentials are correct and that Airbyte can connect to your Calendly account.
8. If the connection is successful, click on the "Create connection" button to save your settings and start syncing data from Calendly 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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