- 1 Minute to read
- Print
- DarkLight
- PDF
Data Cloud
- 1 Minute to read
- Print
- DarkLight
- PDF
The OneDArT Data Cloud is an innovative platform designed for the efficient storage, management, and analysis of large datasets within a cloud environment. By leveraging cloud-based solutions, users can perform complex computational tasks with greater efficiency and ease, facilitating advanced analytics and data exploration.
The Data Cloud utilizes mechanisms like AWS S3 buckets for scalable data storage, akin to familiar services such as Google Drive. It enables seamless synchronization of datasets between on-premises locations and the cloud, supporting collaboration and accessibility for users who wish to optimize their data management strategies.
Users generally interact with the Data Cloud through the Cloud Explorer application available from the OneDArT Launchpad.
Uploading Data via Cloud Explorer
You can upload data directly to the data cloud by following these steps:
Open the Cloud Explorer.
Navigate to the folder where you want to upload the data.
Click the Upload button located at the top-right corner of the screen.
Choose a file from your local machine, then double-click it or click the Open button to confirm your selection.
Downloading Data via Cloud Explorer
To download your data to a local device, please follow these steps:
Open the Cloud Explorer.
Navigate to the folder that contains the data you wish to download.
Right-click on the folder and select the Download option from the context menu.
Synchronising Data via Cloud Explorer
To fetch the latest updates on your data, complete the following steps:
Open the Cloud Explorer.
Navigate to the folder containing the data you want to sync.
Right-click on the folder and choose one of the three available sync options from the context menu.
warning
OneDArT currently processes one data sync at a time and on a first-com-first-served basis. If another customer's data is syncing, you will be placed in a queue. Future releases of OneDArT will process simultaneously.