Resources

Manage your data projects' computing and storage resources.

๐Ÿ—‚๏ธ Resources Overview

The Resources section is accessible from both the main menu and the side menu of the Orchestrator. It is dedicated to managing the data of your computing projects and handling resource storage.



๐Ÿ› ๏ธ Resource Tools

๐Ÿ“ฆ Data Repository

The Data Repository is a centralized place where both structured and unstructured data are stored and managed. It helps organize and access data efficiently.



๐Ÿ“˜

Repositories Query Language

ARPIA provides a Query Tooll to run queries on repository tables; the query itself works the same way, but the normative (syntax) adapts to the type of repository (e.g., relational vs. big data).

Repositories integrate native ARPIA tools such as DataObjects, DataPipes, DataForms, Alert Rules, and more, enabling end-to-end data operations.

Repository ToolDescription
DataObjectsManage repository objects such as Tables, Views, Functions, Prepared Tables, and Snapshots.
DataPipesCreate data extraction pipelines from external sources into ARPIA repositories, with support for mapping, full loads, or incremental updates.
DataFormsBuild forms (online or offline) for data collection, mapped directly to repository tables.
Alert RulesDefine monitoring rules (SQL or Kubes-based) that automatically send notifications when conditions are met.
Projects MLAutomate recurring processes for advanced analytics or machine learning, storing results in repository tables.
KubesUse a visual designer to create Data Cubes for Presentations, Dashboards, and Insights.
BucketsStore and manage files such as images and documents uploaded from DataApps.

๐Ÿ’ป Computing

The Computing section manages data processing tasks like calculations, analysis, and simulations. It also tracks the monthly use of credits and provides a summary of computing resource usage.



๐Ÿ“˜

Credits and Billing Management

For more details on credit usage and billing, please refer to the Billing and Credit Management section.


๐Ÿ—ƒ๏ธ Bucket Storage

Bucket Storage organizes data into objects (files) rather than blocks or sectors, making it scalable and flexible. It is ideal for storing large amounts of unstructured data like images, videos, and documents.


By organizing the Resources section in this way, ARPIA provides a seamless and intuitive experience for managing data, computing, and storage across projects.