📄️ Managing Datasets
The Datasets feature allows you to streamline and enhance the overall process of handling datasets, promoting data integrity, security, and collaboration within the Digital.ai platform. Datasets are essential in data analysis and decision-making processes as they provide structured collections of data that can be analyzed to extract valuable insights and trends.
📄️ What is a Dataset?
A Dataset refers to a collection of data that is organized and stored together. The dataset presents structured data in tabular form, relevant to a particular domain or business process. Each dataset contains attributes and metrics of data, where each row represents a record, and each column represents a data attribute or field.
📄️ Datasets Creation
Learn to create a dataset
📄️ Previewing Datasets
Learn how to preview a dataset
📄️ Exploring Datasets
Understanding datasets type,key expression and rule
📄️ Listing dataset
View the list of datasets and their uses
📄️ Viewing Existing Dataset
Explore the details of dataset
📄️ Actioning in Created Datasets
You can do the following actions using this option:
📄️ Custom Field Dataset
Custom Field is a feature provided by Digital.ai that enables you to add new data columns to existing dataset tables, allowing for tailored data modeling and extended analysis capabilities. When a custom data column also known as custom field is added to a dataset, the corresponding table is automatically updated and represented with the suffix customfield to distinguish it from the regular datasets.
📄️ Base and Advanced Datasets
A dataset refers to a collection of data that is organized and stored together. The dataset presents structured data in tabular form, relevant to a particular domain or business process. Each dataset contains attributes and metrics of data, where each row represents a record, and each column represents a data attribute or field. Datasets are broadly classified into two categories: