How Airbyte Works
About the source and destination
Public Apis
AWS Datalake
Sync with Airbyte
Sync Manually
What sets Airbyte Apart
Modern GenAI Workflows
Move Large Volumes, Fast
An Extensible Open-Source Standard
Full Control & Security
Fully Featured & Integrated
Enterprise Support with SLAs
Public API connector permits users the flexibility to connect to any existing REST API and quickly abstract the necessary data. The API Connector also permits you to connect to almost any external API from Bubble. It provides Azure Active Directory with the information needed to call the API endpoint by defining the HTTP endpoint URL and authentication for the API call. API Connector is a dynamic, comfortable-to-use extension that pulls data from any API into Google Sheets.
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. Open the Airbyte platform and navigate to the "Sources" tab on the left-hand side of the screen.
2. Click on the "Public API" source connector and select "Create new connection."
3. Enter a name for your connection and click "Next."
4. In the "Configuration" tab, enter the base URL for the API you want to connect to.
5. If your API requires authentication, select the appropriate authentication method (e.g. OAuth2, API key, etc.) and enter the necessary credentials.
6. If your API requires additional headers or parameters, add them in the "Advanced" section.
7. Test the connection to ensure that the API is properly configured and that Airbyte can access it.
8. Once the connection is successful, select the data you want to replicate and configure any necessary settings (e.g. scheduling, schema mapping, etc.).
9. Save the connection and run a sync to start replicating data from your API to your destination.
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
Public APIs provide access to a wide range of data, including:
1. Weather data: Public APIs provide access to real-time weather data, including temperature, humidity, wind speed, and precipitation.
2. Financial data: Public APIs provide access to financial data, including stock prices, exchange rates, and economic indicators.
3. Social media data: Public APIs provide access to social media data, including user profiles, posts, and comments.
4. Geographic data: Public APIs provide access to geographic data, including maps, geocoding, and routing.
5. Government data: Public APIs provide access to government data, including census data, crime statistics, and public health data.
6. News data: Public APIs provide access to news data, including headlines, articles, and trending topics.
7. Sports data: Public APIs provide access to sports data, including scores, schedules, and player statistics.
8. Entertainment data: Public APIs provide access to entertainment data, including movie and TV show information, music data, and gaming data.
Overall, Public APIs provide access to a vast array of data, making it easier for developers to build applications and services that leverage this data to create innovative solutions.
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey: