The Data & AI Wiki
An editorial static mirror of the AlexMercedCoder/dataaiwiki repository, focusing on Lakehouse architectures, semantic data integration, open source tools, and AI concepts.
Modern Data Architecture
The modern data ecosystem is moving rapidly away from proprietary data warehouses toward open, modular architectures. By separating compute from storage, organizations can run multiple analytical engines concurrently against a single copy of data, reducing vendor lock-in and minimizing expensive data copies.
At the center of this shift is the Data Lakehouse, enabled by open-source table formats like Apache Iceberg, Delta Lake, and Apache Hudi. These formats bring transaction safety, schema evolution, and time-travel capabilities directly to files stored in object storage.
Semantic Layers & AI
As data storage becomes open and standardized, the focus shifts to data management and consumption. The Semantic Layer acts as a unified abstraction layer over heterogeneous data sources, providing business users and analytics engines with consistent definitions, security, and governance.
Simultaneously, the rise of Generative AI and Large Language Models (LLMs) requires robust, real-time access to clean organizational data. Technologies like RAG (Retrieval-Augmented Generation) bridge the gap between unstructured knowledge and structured data catalogs, enabling intelligent applications to deliver high-context answers.
Featured Articles
ACID
Discover architectural details, concept walkthroughs, and technical platforms inside the wiki.
Read Article →Active Learning
Discover architectural details, concept walkthroughs, and technical platforms inside the wiki.
Read Article →Ad-hoc Query
Discover architectural details, concept walkthroughs, and technical platforms inside the wiki.
Read Article →