Datasets

A dataset is a collection of data that is stored and managed in a structured format, allowing users to easily access, manipulate, and analyze the data.

A dataset can be thought of as a container for data that has been organized and structured in a specific way to support specific use cases or analyses.

In Dataworkz, datasets can be created from a variety of sources, including external data sources such as APIs, databases, and files, as well as from internal data sources such as user input and other Dataworkz objects. Once a dataset is created, users can transform and manipulate the data using a AI based techniques for data cleaning, filtering, and aggregation.

Datasets are a fundamental concept in Dataworkz, and they provide a powerful way to organize and work with data. By using datasets, users can easily create, manage, and share data-driven applications and workflows, without having to worry about the underlying complexity of the data.

• Data source integration: Datasets can be created from a variety of external data sources, allowing users to easily integrate data from different sources into their applications and workflows.

• Data transformation: Users can transform and manipulate data within datasets using a variety of techniques, including data cleaning, filtering, and aggregation.

• Data visualization: Datasets can be visualized using a variety of tools and techniques, allowing users to easily explore and understand their data.

• Collaboration: Datasets can be shared and collaborated on by multiple users, allowing teams to work together to create and analyze data-driven applications and workflows.