Resources
Manage your data projects' computing and storage resources.
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.
Resource Tools
Data Repository
The data repository is a centralized place where data is stored and managed. It can contain structured or unstructured information and is used to store, organize, and access data efficiently.
Repositories query language
All repositories use SQL as their query language.
Repositories allow you to integrate native tools in ARPIA, such as DataPipes, DataForms, Alert Rules, and more. Below are descriptions of the different tools available.
Repository Tool | Description |
---|---|
DataObject | Manage objects in repositories, such as Tables and Views. |
DataPipes | Create data extraction lines from external sources to ARPIA repositories, allowing table mapping and extraction of copies or changes. |
DataForms | Create forms for data collection in the field or online, each form mapped to a repository table. |
Alert Rules | Create threads that analyze data based on SQL or existing Kube, sending notifications on found events. |
Projects ML | Create recurring processes for complex calculations or analyses, with results sent to another repository table. |
Kubes | Visual Designer for creating Data Cubes stored in repositories for Presentations, Dashboards, Insights, etc. |
Buckets | Store images and documents saved from DataApps. |
Computing
Computing refers to the processing of data using computing resources, such as servers and workshop projects. This may include calculations, analysis, simulations, and other tasks related to data processing. It also shows information on the monthly use of credits and provides a summary of computing usage.
Credits and Billing Management
For further details on how credit usage is calculated and billed, please follow this link. Billing and Credit Management
Bucket Storage
Bucket storage is a method of data storage that organizes information into objects (files) instead of blocks or sectors. It is scalable, flexible, and is commonly used to store large amounts of unstructured data, such as images, videos, or documents.
Updated 2 months ago