Private data querying is a way to search or analyse sensitive data without exposing the actual information to others. It uses specialised techniques to keep the content of the data hidden, even from the person or system performing the query. This helps maintain privacy and security while still allowing useful insights to be gained from…
Schema evolution strategies are planned methods for handling changes to the structure of data in databases or data formats over time. These strategies help ensure that as requirements change and new features are added, existing data remains accessible and usable. Good schema evolution strategies allow systems to adapt without losing or corrupting data, making future…
Data quality monitoring is the process of regularly checking and assessing data to ensure it is accurate, complete, consistent, and reliable. This involves setting up rules or standards that data should meet and using tools to automatically detect issues or errors. By monitoring data quality, organisations can fix problems early and maintain trust in their…
ETL pipeline design is the process of planning and building a system that moves data from various sources to a destination, such as a data warehouse. ETL stands for Extract, Transform, Load, which are the three main steps in the process. The design involves deciding how data will be collected, cleaned, changed into the right…
Forensic data collection is the process of gathering digital information in a way that preserves its integrity for use as evidence in investigations. This involves carefully copying data from computers, phones, or other devices without altering the original material. The aim is to ensure the data can be trusted and verified if presented in court…
Privacy-preserving data sharing is a way of allowing people or organisations to share information without exposing sensitive or personal details. Techniques such as data anonymisation, encryption, and differential privacy help ensure that shared data cannot be traced back to individuals or reveal confidential information. This approach helps balance the need for collaboration and data analysis…
Differential privacy guarantees are assurances that a data analysis method protects individual privacy by making it difficult to determine whether any one person’s information is included in a dataset. These guarantees are based on mathematical definitions that limit how much the results of an analysis can change if a single individual’s data is added or…
Private Data Federation is a way for different organisations to analyse and share insights from their separate data sets without actually moving or exposing the raw data to each other. This approach uses secure techniques so that each party keeps control of its own information while still being able to collaborate on analysis. It is…
Data virtualisation is a technology that allows users to access and interact with data from multiple sources without needing to know where that data is stored or how it is formatted. Instead of physically moving or copying the data, it creates a single, unified view of information, making it easier to analyse and use. This…
Metadata Management Systems are tools or platforms that help organisations organise, store, and maintain information about their data, such as where it comes from, how it is used, and its meaning. These systems make it easier to track data sources, understand data quality, and ensure that everyone uses the same definitions. By providing a central…