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.
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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.
Google Workspace Admin Reports let administrators monitor their team’s activity through various console reports. Admin Reports allow administrators to see how teams are collaborating within Google apps, track individual sign-ins, see how content is created and shared by users, and more. Administrators can view data from both granular and domain levels for an overview of all activities. Admin console reports include highlights reports; apps reports; audit logs; and three user reports: accounts, apps usage, and security.
The Google Workspace Admin Reports API provides access to a wide range of data related to the usage and management of Google Workspace services. The API allows administrators to retrieve data on user activity, security events, and system usage, among other things. Some of the categories of data that can be accessed through the API include:
- User activity: This includes data on user logins, file activity, email activity, and other actions taken by users within Google Workspace.
- Security events: This includes data on security-related events such as login failures, suspicious activity, and malware detection.
- Audit logs: This includes data on changes made to Google Workspace settings and configurations, as well as other administrative actions.
- Usage reports: This includes data on system usage, such as the number of emails sent and received, the amount of storage used, and the number of meetings held.
- Drive activity: This includes data on file activity within Google Drive, such as file uploads, downloads, and sharing.
- Gmail activity: This includes data on email activity within Gmail, such as message sending and receiving, and spam filtering.
Overall, the Google Workspace Admin Reports API provides a comprehensive set of data that can be used to monitor and manage Google Workspace services effectively.
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.
Google Workspace Admin Reports let administrators monitor their team’s activity through various console reports. Admin Reports allow administrators to see how teams are collaborating within Google apps, track individual sign-ins, see how content is created and shared by users, and more. Administrators can view data from both granular and domain levels for an overview of all activities. Admin console reports include highlights reports; apps reports; audit logs; and three user reports: accounts, apps usage, and security.
The Google Workspace Admin Reports API provides access to a wide range of data related to the usage and management of Google Workspace services. The API allows administrators to retrieve data on user activity, security events, and system usage, among other things. Some of the categories of data that can be accessed through the API include:
- User activity: This includes data on user logins, file activity, email activity, and other actions taken by users within Google Workspace.
- Security events: This includes data on security-related events such as login failures, suspicious activity, and malware detection.
- Audit logs: This includes data on changes made to Google Workspace settings and configurations, as well as other administrative actions.
- Usage reports: This includes data on system usage, such as the number of emails sent and received, the amount of storage used, and the number of meetings held.
- Drive activity: This includes data on file activity within Google Drive, such as file uploads, downloads, and sharing.
- Gmail activity: This includes data on email activity within Gmail, such as message sending and receiving, and spam filtering.
Overall, the Google Workspace Admin Reports API provides a comprehensive set of data that can be used to monitor and manage Google Workspace services effectively.
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.
Google Workspace Admin Reports let administrators monitor their team’s activity through various console reports. Admin Reports allow administrators to see how teams are collaborating within Google apps, track individual sign-ins, see how content is created and shared by users, and more. Administrators can view data from both granular and domain levels for an overview of all activities. Admin console reports include highlights reports; apps reports; audit logs; and three user reports: accounts, apps usage, and security.
The Google Workspace Admin Reports API provides access to a wide range of data related to the usage and management of Google Workspace services. The API allows administrators to retrieve data on user activity, security events, and system usage, among other things. Some of the categories of data that can be accessed through the API include:
- User activity: This includes data on user logins, file activity, email activity, and other actions taken by users within Google Workspace.
- Security events: This includes data on security-related events such as login failures, suspicious activity, and malware detection.
- Audit logs: This includes data on changes made to Google Workspace settings and configurations, as well as other administrative actions.
- Usage reports: This includes data on system usage, such as the number of emails sent and received, the amount of storage used, and the number of meetings held.
- Drive activity: This includes data on file activity within Google Drive, such as file uploads, downloads, and sharing.
- Gmail activity: This includes data on email activity within Gmail, such as message sending and receiving, and spam filtering.
Overall, the Google Workspace Admin Reports API provides a comprehensive set of data that can be used to monitor and manage Google Workspace services effectively.
1. First, navigate to the Google Workspace Admin Reports source connector on Airbyte.com.
2. Click on the "Add Source" button to begin the process of adding your Google Workspace Admin Reports credentials.
3. In the "Connection Configuration" section, enter your Google Workspace Admin Reports credentials, including your email address and password.
4. Click on the "Test Connection" button to ensure that your credentials are correct and that Airbyte can connect to your Google Workspace Admin Reports account.
5. Once your connection is successful, you can select the specific reports that you want to sync with Airbyte.
6. In the "Sync Configuration" section, you can choose the frequency of your syncs and the specific data ranges that you want to include in your reports.
7. Click on the "Save & Test" button to save your configuration and test your sync.
8. If your sync is successful, you can begin using your Google Workspace Admin Reports data in Airbyte to create custom reports and dashboards.
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.