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…
Category: Enterprise Architecture
Data Catalog Implementation
Data catalog implementation is the process of setting up a centralised system that helps an organisation organise, manage, and find its data assets. This system acts as an inventory, making it easier for people to know what data exists, where it is stored, and how to use it. It often involves choosing the right software,…
Master Data Management (MDM)
Master Data Management (MDM) is a set of processes and tools that ensures an organisation’s core data, such as customer, product, or supplier information, is accurate and consistent across all systems. By centralising and managing this critical information, MDM helps reduce errors and avoids duplication. This makes sure everyone in the organisation works with the…
Data Lakehouse Architecture
Data Lakehouse Architecture combines features of data lakes and data warehouses into one system. This approach allows organisations to store large amounts of raw data, while also supporting fast, structured queries and analytics. It bridges the gap between flexibility for data scientists and reliability for business analysts, making data easier to manage and use for…
Data Fabric Implementation
Data fabric implementation is the process of setting up a unified system that connects and manages data from different sources across an organisation. It enables users to access, integrate, and use data without worrying about where it is stored or what format it is in. This approach simplifies data management, improves accessibility, and supports better…
Data Mesh Architecture
Data Mesh Architecture is an approach to managing and organising large-scale data by decentralising ownership and responsibility across different teams. Instead of having a single central data team, each business unit or domain takes care of its own data as a product. This model encourages better data quality, easier access, and faster innovation because the…
Cloud Interoperability Standards
Cloud interoperability standards are agreed rules and protocols that allow different cloud services and platforms to work together smoothly. These standards make it possible to share data, applications and workloads between various cloud providers without needing major changes. By following these standards, organisations can avoid being locked into a single cloud vendor and can combine…
Data Center Consolidation
Data centre consolidation is the process of reducing the number of physical data centres or servers that an organisation uses. This is usually done by combining resources, moving to more efficient systems, or using cloud services. The goal is to save costs, simplify management, and improve the use of technology resources.
Disaster Recovery as a Service (DRaaS)
Disaster Recovery as a Service (DRaaS) is a cloud-based solution that helps organisations quickly recover their IT systems and data after an unexpected event, such as a cyberattack, hardware failure, or natural disaster. It works by securely copying critical data and applications to a remote location managed by a third-party provider. When a disaster occurs,…
Infrastructure Scalability Planning
Infrastructure scalability planning is the process of preparing systems, networks, and resources to handle future growth in demand or users. It involves forecasting how much capacity will be needed and making sure that the infrastructure can be expanded easily when required. Good planning helps prevent slowdowns, outages, or expensive last-minute upgrades by ensuring systems are…