Looker is a Google-Cloud-based enterprise platform that provides information and insights to help move businesses forward. Looker reveals data in clear and understandable formats that enable companies to build data applications and create data experiences tailored specifically to their own organization. Looker’s capabilities for data applications, business intelligence, and embedded analytics make it helpful for anyone requiring data to perform their job—from data analysts and data scientists to business executives and partners.
Amazon S3 (Simple Storage Service) is a cloud-based object storage service provided by Amazon Web Services (AWS). It is designed to store and retrieve any amount of data from anywhere on the web. S3 is highly scalable, secure, and durable, making it an ideal solution for businesses of all sizes. S3 allows users to store and retrieve data in the form of objects, which can be up to 5 terabytes in size. These objects can be accessed through a web interface or through APIs, making it easy to integrate with other AWS services or third-party applications. S3 also offers a range of features, including versioning, lifecycle policies, and access control, which allow users to manage their data effectively. It also provides high availability and durability, ensuring that data is always accessible and protected against data loss. Overall, S3 is a powerful and flexible tool that enables businesses to store and manage their data in a secure and scalable way, making it an essential component of many cloud-based applications and services.
1. Open Looker and navigate to the Admin panel.
2. Click on "Connections" and then "New Connection".
3. Select "Airbyte" as the type of connection.
4. Enter a name for the connection and the URL for the Airbyte instance.
5. In the "Authentication" section, select "OAuth2" as the authentication method.
6. Enter the Client ID and Client Secret provided by Airbyte.
7. In the "Advanced" section, set the "API Version" to "v1".
8. Click "Test" to ensure the connection is successful.
9. Save the connection and navigate to the "Explore" panel.
10. Select the Airbyte connection as the data source and choose the relevant tables to explore.
Note: It is important to ensure that the Airbyte instance is properly configured and the necessary connectors are installed before attempting to connect to Looker. Additionally, the specific steps for adding credentials may vary depending on the version of Looker being used.
1. Log in to your Airbyte account and navigate to the "Destinations" tab on the left-hand side of the screen.
2. Click on the "Add Destination" button and select "S3" from the list of available connectors.
3. Enter your AWS access key ID and secret access key in the appropriate fields. If you don't have these credentials, you can generate them in the AWS console.
4. Choose the AWS region where you want to store your data.
5. Enter the name of the S3 bucket where you want to store your data. If the bucket doesn't exist yet, you can create it in the AWS console.
6. Choose the format in which you want to store your data (e.g. CSV, JSON, Parquet).
7. Configure any additional settings, such as compression or encryption, if desired.
8. Test the connection to ensure that Airbyte can successfully connect to your S3 bucket.
9. Save your settings and start syncing data from your source connectors to your S3 destination.
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:
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Frequently Asked Questions
Looker's API provides access to a wide range of data categories, including:
1. User and account data: This includes information about users and their accounts, such as user IDs, email addresses, and account settings.
2. Query and report data: Looker's API allows users to retrieve data from queries and reports, including metadata about the queries and reports themselves.
3. Dashboard and visualization data: Users can access data about dashboards and visualizations, including the layout and configuration of these elements.
4. Data model and schema data: Looker's API provides access to information about the data model and schema, including tables, fields, and relationships between them.
5. Data access and permissions data: Users can retrieve information about data access and permissions, including which users have access to which data and what level of access they have.
6. Integration and extension data: Looker's API allows users to integrate and extend Looker with other tools and platforms, such as custom applications and third-party services.
Overall, Looker's API provides a comprehensive set of data categories that enable users to access and manipulate data in a variety of ways.