In this video, we will see how a Database Table Source object works in Astera. The Database Table Source object is used to retrieve data from a database table. It offers incremental reads via change data capture, supports multi-way partitioning for enhanced performance, and allows customization with WHERE clauses and sorting options.

In this video, we will be learning about the Logging and Tracing Functionalities present within the API Component of Astera Data Stack.

In this video, we will be talking about Pre-Deployment testing and verification of API Flows in Astera API Management. When designing an API flow, users can benefit from the functionality to instantly preview and verify the input and output data for any action in the flow.

In this video, we will learn about API Deployment in Astera API Management. In Astera API Management, users can design a complete set of API endpoint flows in a drag-and-drop interface. These APIs can then be deployed to the Astera Server before they can be consumed.

In this video, we will learn about Generating a Test Flow in Astera API Management. The Generate Test Flow option auto creates post-deployment test flows. These dataflows can be used to make live requests to the deployed API endpoints using the API Client and API Connection objects.

In this video, we will learn about API Monitoring in Astera API Management. Astera lets users monitor live metrics for all deployed APIs using a Visualization Dashboard.

In this video, we will be learning about Workflow tasks in an API Flow, in Astera Data Stack. An API flow orchestration allows the usage of various workflow tasks. These include tasks like Send Mail, System File Actions, FTP tasks, etc, which can be utilized per the API action.

In this video, we will be looking at the Auto-Generation of CRUD API Endpoints in Astera Data Stack. Users can auto-generate CRUD API endpoints for any database using the Data Source Browser. CRUD APIs are meant for Create-Retrieve-Update-Delete operations on the database table records.