Category: Data Engineering

Master Data Integration

Post author By EfficiencyAI
Post date 2 June 2025
Categories In Data Engineering, Data Governance, Enterprise Architecture

Master Data Integration is the process of combining and managing key business data from different systems across an organisation. It ensures that core information like customer details, product data, or supplier records is consistent, accurate, and accessible wherever it is needed. This approach helps avoid duplicate records, reduces errors, and supports better decision-making by providing…

Data Harmonization

Post author By EfficiencyAI
Post date 2 June 2025
Categories In Data Engineering, Data Governance, Data Science

Data harmonisation is the process of bringing together data from different sources and making it consistent so that it can be compared, analysed, or used together. This often involves standardising formats, naming conventions, and units of measurement to remove differences and errors. By harmonising data, organisations can combine information from various places and get a…

Data Standardization

Post author By EfficiencyAI
Post date 2 June 2025
Categories In Data Engineering, Data Governance, Data Science

Data standardisation is the process of converting data into a common format so that it can be easily understood, compared, and used together. It involves making sure that data collected from different sources follows the same rules and structure. This helps prevent confusion and mistakes when analysing or sharing information.

Data Transformation Framework

Post author By EfficiencyAI
Post date 2 June 2025
Categories In Data Engineering, Digital Transformation, Enterprise Architecture

A Data Transformation Framework is a set of tools or guidelines that help convert data from one format or structure to another. This process is essential for making sure data from different sources can be used together, analysed, or stored efficiently. Data transformation can involve cleaning, organising, and changing the way data is presented so…

Data Migration Strategy

Post author By EfficiencyAI
Post date 2 June 2025
Categories In Data Engineering, Digital Transformation, Technology Strategy

A data migration strategy is a planned approach for moving data from one system, storage type, or format to another. It involves deciding what data to move, how to move it, and how to ensure its accuracy and security throughout the process. A good strategy helps avoid data loss, minimises downtime, and ensures that the…

Hybrid Data Architecture

Post author By EfficiencyAI
Post date 2 June 2025
Categories In AI Infrastructure, Data Engineering, Enterprise Architecture

Hybrid data architecture is a way of organising and managing data that combines both traditional on-premises systems and cloud-based solutions. This approach allows organisations to store some data locally for control or security reasons, while using the cloud for scalability and flexibility. It helps businesses use the strengths of both environments, making it easier to…

Cloud Data Integration

Post author By EfficiencyAI
Post date 2 June 2025
Categories In Cloud Computing, Data Engineering, Enterprise Architecture

Cloud Data Integration is the process of combining and managing data from different sources, such as databases, applications, and services, within a cloud environment. It involves moving, transforming, and synchronising data to ensure it is accurate and up to date wherever it is needed. This helps organisations make better decisions and keep their systems connected…

Data Virtualization Strategy

Post author By EfficiencyAI
Post date 2 June 2025
Categories In Data Engineering, Enterprise Architecture, Technology Strategy

A data virtualization strategy is a plan for accessing and integrating data from different sources without physically moving or copying it. It allows users to see and use data from multiple places as if it is in one location. This approach helps organisations make faster decisions and reduces the need for complex data transfers or…

Data Federation

Post author By EfficiencyAI
Post date 2 June 2025
Categories In Data Engineering, Data Governance, Enterprise Architecture

Data federation is a technique that allows information from multiple, separate data sources to be accessed and queried as if they were a single database. Instead of moving or copying data into one place, data federation creates a virtual layer that connects to each source in real time. This approach helps organisations bring together data…

Data Synchronization

Post author By EfficiencyAI
Post date 2 June 2025
Categories In AI Infrastructure, Data Engineering, Data Governance

Data synchronisation is the process of ensuring that information stored in different places remains consistent and up to date. When data changes in one location, synchronisation makes sure the same change is reflected everywhere else it is stored. This is important for preventing mistakes and keeping information accurate across devices or systems.