AWS CloudTrail logs, monitors, and retains account activity across AWS infrastructure, aiding compliance, operational auditing, and risk management with detailed event history.
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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
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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.
AWS CloudTrail is a web service developed to simplify and provide assistance with AWS accounts. Enabling compliance, governance, and operational and risk auditing, it allows users to monitor, log, and document AWS account-related activity in an easily searchable format. With its comprehensive account event history function, CloudTrail helps users analyze and troubleshoot security and operational issues, detect unusual account activity, and much more by increasing visibility into customers’ user and resource activity.
AWS CloudTrail provides access to a wide range of data related to AWS account activity and resource usage. The following are the categories of data that can be accessed through the API:
1. Event history: This includes information about all the events that have occurred in an AWS account, such as API calls, console sign-ins, and resource changes.
2. Resource activity: This category includes data related to the usage of AWS resources, such as EC2 instances, S3 buckets, and RDS databases.
3. User activity: This category includes data related to user activity in an AWS account, such as user sign-ins, password changes, and access key usage.
4. Security analysis: This category includes data related to security events in an AWS account, such as failed login attempts, unauthorized access attempts, and changes to security groups.
5. Compliance auditing: This category includes data related to compliance auditing in an AWS account, such as changes to IAM policies, CloudTrail configuration changes, and VPC network changes.
Overall, the AWS CloudTrail API provides a comprehensive view of AWS account activity and resource usage, making it a valuable tool for monitoring and managing AWS environments.
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.
AWS CloudTrail is a web service developed to simplify and provide assistance with AWS accounts. Enabling compliance, governance, and operational and risk auditing, it allows users to monitor, log, and document AWS account-related activity in an easily searchable format. With its comprehensive account event history function, CloudTrail helps users analyze and troubleshoot security and operational issues, detect unusual account activity, and much more by increasing visibility into customers’ user and resource activity.
AWS CloudTrail provides access to a wide range of data related to AWS account activity and resource usage. The following are the categories of data that can be accessed through the API:
1. Event history: This includes information about all the events that have occurred in an AWS account, such as API calls, console sign-ins, and resource changes.
2. Resource activity: This category includes data related to the usage of AWS resources, such as EC2 instances, S3 buckets, and RDS databases.
3. User activity: This category includes data related to user activity in an AWS account, such as user sign-ins, password changes, and access key usage.
4. Security analysis: This category includes data related to security events in an AWS account, such as failed login attempts, unauthorized access attempts, and changes to security groups.
5. Compliance auditing: This category includes data related to compliance auditing in an AWS account, such as changes to IAM policies, CloudTrail configuration changes, and VPC network changes.
Overall, the AWS CloudTrail API provides a comprehensive view of AWS account activity and resource usage, making it a valuable tool for monitoring and managing AWS environments.
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.
AWS CloudTrail is a web service developed to simplify and provide assistance with AWS accounts. Enabling compliance, governance, and operational and risk auditing, it allows users to monitor, log, and document AWS account-related activity in an easily searchable format. With its comprehensive account event history function, CloudTrail helps users analyze and troubleshoot security and operational issues, detect unusual account activity, and much more by increasing visibility into customers’ user and resource activity.
AWS CloudTrail provides access to a wide range of data related to AWS account activity and resource usage. The following are the categories of data that can be accessed through the API:
1. Event history: This includes information about all the events that have occurred in an AWS account, such as API calls, console sign-ins, and resource changes.
2. Resource activity: This category includes data related to the usage of AWS resources, such as EC2 instances, S3 buckets, and RDS databases.
3. User activity: This category includes data related to user activity in an AWS account, such as user sign-ins, password changes, and access key usage.
4. Security analysis: This category includes data related to security events in an AWS account, such as failed login attempts, unauthorized access attempts, and changes to security groups.
5. Compliance auditing: This category includes data related to compliance auditing in an AWS account, such as changes to IAM policies, CloudTrail configuration changes, and VPC network changes.
Overall, the AWS CloudTrail API provides a comprehensive view of AWS account activity and resource usage, making it a valuable tool for monitoring and managing AWS environments.
1. First, navigate to the AWS Management Console and log in to your account.
2. Once logged in, search for the CloudTrail service and select it.
3. In the CloudTrail dashboard, select the Trails option from the left-hand menu.
4. Click on the name of the trail you want to use as your source connector.
5. In the trail details page, scroll down to the section labeled "Management events" and click on the "Edit" button.
6. In the "Data events" section, click on the "Add data event" button.
7. Select the type of data event you want to capture and configure the settings as needed.
8. Once you have configured the data event, click on the "Save" button to save your changes.
9. Next, navigate to the Airbyte dashboard and select the "Sources" option from the left-hand menu.
10. Click on the "Create a new source" button and select the AWS CloudTrail connector.
11. Enter your AWS access key ID and secret access key in the appropriate fields.
12. Enter the name of the S3 bucket where your CloudTrail logs are stored.
13. Enter the name of the CloudTrail trail you want to use as your source connector.
14. Click on the "Test" button to ensure that your credentials are valid and that Airbyte can connect to your CloudTrail logs.
15. Once the test is successful, click on the "Create" button to create your AWS CloudTrail source connector in Airbyte.
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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