In this video, we will learn the functionality and usage of the Decision workflow task within Astera Data Stack. The Decision task allows for conditional branching in workflows, directing the flow based on logical expressions.

In this video, we will be learning how to seamlessly integrate SQL code stored in a.SQL file into a workflow, automating database operations effortlessly by using the Run SQL File Task. The Run SQL File task runs the SQL code inside a file of.sql extension as part of a workflow.

In this video, we will be discussing how you can extract data from a delimited file using the Delimited File Source object in Astera. Delimited files are one of the most commonly used data formats and use specific characters or delimiters to separate records and indicate the structure of the table in which the data resides. Contents of the video.

In this video, we will be discussing how you can extract data from an XML JSON File Source using the XML JSON File Source object in Astera. XML JSON file source in Astera provides a high-speed reader for XML or JSON files in which the data is stored in a hierarchical format within several nodes and sub nodes. Contents of the video: Configure the object properties, including File Path, Schema Location, and other options. Generate XML Schema. Customizing XML Layout and Config Parameters. XML data preview.

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.