Schedule Dataset

Dataset scheduling in AIV enables users to automate the execution of datasets at specified intervals. This feature allows for the seamless processing of data, ensuring that datasets are updated regularly without manual intervention. By scheduling datasets, users can streamline their data workflows, improve efficiency, and ensure that the most up-to-date information is available for analysis and decision-making.
It generates Cache Dataset (.cds) files. You can schedule your dataset by clicking on the scheduling option.

Scheduling refers to the process of arranging events, tasks, or activities to occur at specific times or intervals. In the context of software or systems management, scheduling involves automating the execution of tasks according to predefined rules or schedules. This allows for efficient resource utilization, improved productivity, and timely execution of important processes. Scheduling is commonly used in various domains, including software development, data management, operations management, and project management, to streamline workflows and ensure that tasks are completed in a timely manner.

Datasets are run on a scheduled basis using tables that containing customer information. Most datasets are run on an hourly, daily, or weekly basis, through cron jobs that are added to a boss’s crontab as part of the dataset rpm installation.

Dataset Scheduling: This video contains how to Schedule Dataset in AIV.

1️⃣ What is Time schedule:-

Dataset scheduling in AIV refers to the functionality within the AIV platform that allows users to automate the execution of datasets at specific times or intervals. With dataset scheduling, users can define schedules for their datasets to run automatically without manual intervention. This ensures that data processing tasks, such as data extraction, transformation, and loading (ETL), occur regularly and consistently according to predefined schedules. Dataset scheduling in AIV streamlines data management processes, improves efficiency, and ensures that data is updated and available for analysis when needed.

Dataset Scheduling : This video contains how to Schedule Dataset in AIV.

Accessing the Scheduling Interface : Users navigate to the scheduling interface within the AIV platform.
Selecting the Dataset : Users choose the dataset they want to schedule from the available options.
Defining the Schedule : Users specify the frequency and timing for the dataset to run. This can be set to run hourly, daily, weekly, or at other intervals as needed.
Configuring Options : Users may have the option to configure additional settings, such as specifying users,roles, defining dependencies, or setting up alerts through email.
Reviewing and Confirming : Users review the scheduled settings to ensure they are accurate. Once satisfied, they confirm the scheduling process.
Monitoring and Management : After scheduling, users can monitor the status of the scheduled dataset in the aiv on request notification section which is shown on above image.

By following these steps, users can effectively schedule datasets in AIV to automate data processing and ensure timely updates.

Time scheduling is the strategic planning of activities to accomplish goals and priorities within the available time. This process involves organizing tasks on an hourly, weekly, or daily basis to maximize productivity and efficiency.

Time Schedule
🕙 Time Schedule
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There are three methods to Time Scheduling:-

When users wish to schedule their dataset based on triggered events, event-based scheduling is employed. This approach involves executing tasks or datasets at predetermined times triggered by specific events. Users can set up triggers linked to various events, enabling automated execution based on these triggers.
Follow below link to know more about how to use Event Schedule.

Event Schedule
🔁 Event Schedule
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