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New to CDI-Free/PayGo? Here is a collection of how-to videos to help you understand the capabilities & features.
Learn how to create a data loader task to move data from your source to your cloud data warehouse, including setup, configuration, and scheduling for seamless data integration.
Watch this video to learn how to efficiently move data with a Data Transfer Task, including detailed step-by-step setup, configuration tips, troubleshooting guidance, and best practices to ensure reliable, secure, and optimized data transfer across your systems.
A mapping template includes predefined transformations for common tasks, saving you time and effort by avoiding the need to create mappings from scratch.
Watch this video to learn how to create and run mappings, including setting up data flows, configuring transformation logic, and executing tasks to move and transform your data efficiently.
Learn how to monitor the tasks you run by tracking their status, reviewing logs and performance metrics, identifying errors or bottlenecks, and ensuring successful and timely completion of your data workflows.
Learn how to invite colleagues by granting them access so they can log in, collaborate, and create tasks, enabling better teamwork and shared management of data workflows.
Configure the Data Integration tasks for the taskflow by defining data sources and targets, setting transformation rules, scheduling execution times, and managing dependencies to ensure smooth and automated workflow execution.
Learn how to run a mapping using pushdown optimization, which pushes the processing logic to the source or target database to leverage its processing power. This approach can significantly improve performance by reducing data movement and offloading transformations to the database engine, resulting in faster and more efficient data integration.
Mappings define the data transformation logic, mapping tasks execute these mappings, and taskflows organize multiple tasks into automated workflows. Together, they enable efficient, reusable, and well-managed data integration processes.
Estimate your data processing costs by analyzing factors such as data volume, frequency of tasks, complexity of transformations, and cloud resource usage. Understanding these elements helps you budget effectively, optimize workflows for cost efficiency, and avoid unexpected expenses in your data integration projects.
Configure a Microsoft Azure runtime environment by setting up the necessary compute resources, defining linked services to connect your data sources and destinations, specifying authentication and network settings, and optimizing performance parameters. This setup enables your data integration tasks to run securely and efficiently within Azure’s cloud infrastructure.
