Cloud Computing Glossary

Policies and processes for ensuring data quality, security, and compliance in cloud environments.

Cloud-based tools for combining data from various sources into a unified view, enabling comprehensive data analysis.

Centralized repository storing structured and unstructured data at scale in its native format.

Large-scale storage repository for raw data in various formats in cloud environments.

Hybrid architecture combining data lake storage with data warehouse query capabilities in cloud environments.

Tracking the origin, movement, and transformations of data throughout its lifecycle in cloud systems.

Monitoring data origins, transformations, and usage across cloud environments for compliance and analysis.

Subset of a data warehouse focused on specific business functions or departments in cloud environments.

Techniques to protect sensitive information by obscuring or replacing identifiable data in cloud storage.

Decentralized approach to data management, treating data as a product owned by domain teams in cloud environments.

Tools supporting implementation of data mesh principles in cloud-based data architectures.

Process of transferring data between storage types, formats, or systems in cloud environments.

Automated process for extracting, transforming, and loading data between cloud systems or services.

Systematic analysis of how data processing activities affect privacy in cloud environments.

Cloud-based tools for assessing, improving, and maintaining the quality of data assets.

Specifying the physical location where cloud-stored data resides for compliance with regulations.

Controls for protecting intellectual property and sensitive information in cloud-based data sharing.

Platforms for sharing and monetizing data science models and algorithms in the cloud.

Tools for tracking changes and collaborating on data science projects in cloud environments.

Techniques for managing uneven data distribution in cloud-based parallel processing.

Concept that data is subject to the laws of the country in which it is stored in cloud environments.

Cloud-based tools for replacing sensitive data with non-sensitive equivalents for security purposes.

Capability to access and restore previous versions of data in cloud storage systems.

Technology that provides a unified view of data from multiple cloud and on-premises sources without moving it.

Tools and techniques for creating visual representations of data stored in cloud environments.

Centralized repository optimized for analytics and business intelligence in cloud environments.

Process of collecting, storing, and managing data from varied sources in a central cloud repository for analysis.

Monitoring and recording database activities in cloud environments for security and compliance purposes.

Process of creating copies of databases and recovering them in cloud environments for data protection.

Technique to store frequently accessed data in memory for faster retrieval in cloud databases.

Process of encoding data to protect sensitive information in cloud-based databases.

Automatic switching to a redundant database when the primary system fails in cloud environments.

Techniques ensuring continuous database operation in cloud environments, minimizing downtime.

Process of moving databases from on-premises or other cloud environments to a target cloud platform.

Managed service for migrating databases to cloud platforms with minimal downtime.

Optimizing database operations for improved speed and efficiency in cloud environments.

Intermediary service managing connections between applications and cloud databases for improved security and performance.

Adjusting database resources vertically (more powerful hardware) or horizontally (more instances) in cloud environments.

Distributing data across multiple database instances for improved performance and scalability in the cloud.

Process of updating database software to newer versions in cloud environments, improving performance and security.

Managed cloud service providing database functionality without the need for infrastructure management.

Storage for messages that can't be processed successfully in cloud-based message queuing systems.

Distributed cloud computing model leveraging blockchain technology for increased security and user control.

Blockchain-based platforms for trading compute resources across distributed cloud networks.

Self-sovereign identity management using blockchain technology in cloud environments.

Systems for user authentication and authorization using blockchain in cloud environments.

Distributed file storage systems using peer-to-peer networks in cloud computing environments.

Security approach using decoys to detect, deceive, and deflect attackers in cloud environments.

Subset of machine learning using neural networks with multiple layers for complex pattern recognition in cloud environments.

Tools and practices for automatically releasing and updating applications in cloud environments.