Open Data & AI Knowledge Base

Deep architectural guides, format specifications, and interface standards powering modern open data lakehouse and AI systems.

Apache Parquet

The standard columnar storage file format providing efficient encoding, dictionary compression, and predicate pushdown.

High performance table format offering ACID transactions, snapshot isolation, hidden partitioning, and schema evolution.

Open source catalog for Apache Iceberg implementing the REST catalog standard with central RBAC and credential vending.

In-memory columnar format and compute framework eliminating serialization overhead across analytic engines and clients.

Open specification standardizing semantic metadata and business metrics across data platforms, BI tools, and AI models.

Open standard defining how AI applications and agents securely connect to lakehouse data, tools, and prompts.

Protocol facilitating discovery, capability negotiation, and task delegation between autonomous, distributed AI agents.

Cloud-native API gateway handling dynamic traffic routing, security, and LLM proxying for AI agents and lakehouse services.

The decoupled architecture combining open file formats, table standards, and independent query engines on cloud object storage.