Data Partitioning
The technique of dividing large datasets into smaller, more manageable partitions or subsets for improved performance and scalability.
Data Portability
The ability for individuals to move their personal data between different systems or platforms while maintaining its integrity and usability.
Data Privacy
"Governs how the data is collected, shared and used. It deals with the ability and legality an organization or individual has to determine what data in a computer system can be shared with third parties, both internally and externally, if data can legally be collected or stored, and regulatory restrictions such as GDPR and HIPAA."
Data Quality
Data quality assurance involves creating a process to ensure the accuracy, timeliness, completeness, reliability and consistency of the data.
Data Redundancy
The duplication of data or resources within a system or network to ensure fault tolerance, data availability, and disaster recovery. Data Sovereignty The concept that individuals or organizations have ownership and control over their own data, including where it is stored and how it is used.
Data Security
Protective measures aimed at preventing unauthorized access to computers, databases and websites. Data security also protects data from corruption. Examples of data security technologies include data masking, data erasure and encryption.
Data Store
A repository for persistently storing collections of data, such as a database, a file system or a directory.
Data Synchronization
The process of maintaining consistency and coherence among different copies or versions of data across multiple systems or devices.
Data Type
An attribute that tells what kind of data that value can have. Examples of data types are: integer, floating point unit number, character, string, and pointer. The fields within a database often require a specific type of data to be input.
Data Warehouse
The combining of many different databases across an entire enterprise. It is A collection of data designed to support management decision-making. Data warehouses contain a wide variety of data that present a coherent picture of business conditions at a single point in time. Development of a data warehouse includes development of systems to extract data from operating systems plus installation of a warehouse database system that provides managers flexible access to the data.
