Trends
Data cloud: Definition, examples and working principles
A data cloud’s key features include discoverable data, agile data architecture, and integrated AI/ML capabilities for innovation.
Headline
A data cloud’s key features include discoverable data, agile data architecture, and integrated AI/ML capabilities for innovation.
Context
This article will introduce the definition, examples and working principles of data cloud. A data cloud is a cloud-based infrastructure that provides openness and supports the availability, integration, portability, and security of enterprise data. It offers a comprehensive and established approach to cloud computing, delivering compute, storage, delivery, and advanced analytics capabilities on demand. This empowers organisations to leverage their data effectively for driving transformation and creating value.
Evidence
Pending intelligence enrichment.
Analysis
The challenge of data transformation is exacerbated by isolated systems that require significant effort and resources for maintenance and management. Many businesses struggle with the speed of data ingestion needed to achieve data intelligence. Additionally, integrating data for new insights or making it accessible and shareable to relevant stakeholders can be complex tasks for some organisations. Also read: A look at cloud data management (btw.media) Also read: AMD is investigating a suspected data breach crisis (btw.media) Here are a few examples illustrating how organisations utilise Data Cloud to enhance customer experiences:
Key Points
- A data cloud is a cloud-based infrastructure that provides openness and supports the availability, integration, portability, and security of enterprise data.
- A data cloud’s key features include discoverable data, agile data architecture, and integrated AI/ML capabilities for innovation.
Actions
Pending intelligence enrichment.
