Confluence defines your reason for being so you can form actionable business strategies and it can share performance results and customer insights with stakeholders. Confluence presents your business vision and help your team understand your strategic plan. It is your remote-friendly team workspace where knowledge and collaboration meet. Confluence is purpose-built for teams which requires a secure and reliable way to collaborate on mission-critical projects. Confluence sites are entirely protected by privacy controls and data encryption, and meet industry-verified compliance standards.
An AWS Data Lake is a centralized repository that allows you to store all your structured and unstructured data at any scale. It is designed to handle massive amounts of data from various sources, such as databases, applications, IoT devices, and more. With AWS Data Lake, you can easily ingest, store, catalog, process, and analyze data using a wide range of AWS services like Amazon S3, Amazon Athena, AWS Glue, and Amazon EMR. This allows you to build data lakes for machine learning, big data analytics, and data warehousing workloads. AWS Data Lake provides a secure, scalable, and cost-effective solution for managing your organization's data.
1. First, navigate to the Airbyte dashboard and click on "Sources" in the left-hand menu.
2. Click on "Create New Source" and select "Confluence" from the list of available connectors.
3. Enter a name for your Confluence source and click "Next".
4. Enter the URL for your Confluence instance, along with your username and password.
5. Click "Test Connection" to ensure that your credentials are correct and that Airbyte can connect to your Confluence instance.
6. Once the connection is successful, select the spaces you want to replicate data from.
7. Choose the replication frequency and the type of replication you want to use (full or incremental).
8. Click "Create Source" to save your settings and start replicating data from Confluence to Airbyte.
9. You can monitor the progress of your replication in the Airbyte dashboard and view the data in your destination of choice.
1. Log in to your AWS account and navigate to the AWS Management Console.
2. Click on the S3 service and create a new bucket where you will store your data.
3. Create an IAM user with the necessary permissions to access the S3 bucket. Make sure to save the access key and secret key.
4. Open Airbyte and navigate to the Destinations tab.
5. Select the AWS Datalake destination connector and click on "Create new connection".
6. Enter a name for your connection and paste the access key and secret key you saved earlier.
7. Enter the name of the S3 bucket you created in step 2 and select the region where it is located.
8. Choose the format in which you want your data to be stored in the S3 bucket (e.g. CSV, JSON, Parquet).
9. Configure any additional settings, such as compression or encryption, if necessary.
10. Test the connection to make sure it is working properly.
11. Save the connection and start syncing your data to the AWS Datalake.
With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.
We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
Ready to get started?
Frequently Asked Questions
Confluence's API provides access to a wide range of data, including:
1. Pages: Confluence pages are the primary unit of content in the platform, and the API allows developers to create, read, update, and delete pages.
2. Spaces: Spaces are containers for pages and other content, and the API provides access to space metadata, permissions, and other settings.
3. Users and groups: The API allows developers to manage users and groups, including creating, updating, and deleting them.
4. Comments: Confluence pages can have comments, and the API provides access to comment metadata and content.
5. Attachments: Pages can have attachments, such as images or documents, and the API allows developers to manage attachments.
6. Labels: Labels are used to categorize content in Confluence, and the API provides access to label metadata and allows developers to add or remove labels from pages.
7. Search: The API provides a search endpoint that allows developers to search for pages, spaces, and other content in Confluence.
Overall, Confluence's API provides access to a wide range of data that developers can use to build custom integrations and applications that extend the functionality of the platform.