Data Enrichment
The process of enhancing existing data with third-party data to make it more useful and insightful.
Data management, databases, and data-driven marketing strategies.
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Custom SolutionsThe process of enhancing existing data with third-party data to make it more useful and insightful.
Organising database tables to reduce redundancy and improve data integrity through structured relationships.
A centralized repository of integrated data from one or more disparate sources, used for reporting and data analysis.
Extract, Transform, Load - processes for moving and transforming data between systems. ELT loads raw data first, then transforms.
A design pattern where systems communicate through events, enabling loose coupling and real-time processing.
A system design where a single instance serves multiple customers (tenants) with data isolation.
Non-relational databases designed for flexibility and scale, including document stores, key-value stores, and graph databases.
A database that stores data in tables with defined relationships, using SQL for queries (e.g., PostgreSQL, MySQL).
A database security feature that restricts access to specific rows of data based on the user's identity or role.
The process of evolving database structure over time through versioned, trackable changes.
A database designed to store and query vector embeddings, enabling semantic search and AI applications to retrieve relevant contexts.
Data that a customer intentionally and proactively shares with a brand, such as preferences, purchase intentions, and personal context.
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