Latest Articles

Implementing MCP in the Lakehouse

Implementing MCP in the Lakehouse

How to build a Model Context Protocol (MCP) server that exposes lakehouse tables and semantic views as AI-accessible tools, with Python implementation patterns and authentication.

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Microsoft Fabric Build 2026 Agentic Analytics Stack

Microsoft Fabric Build 2026 Agentic Analytics Stack

Microsoft Build 2026 revealed an agentic analytics stack built on Fabric IQ, OneLake Iceberg support, and semantic models. The architecture shows how Microsoft competes with open lakehouse platforms.

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Modern Python Tooling for Apache Iceberg

Modern Python Tooling for Apache Iceberg

PyIceberg, IceFrame, and the Iceberg CLI form a complete Python toolchain for Iceberg table management. Each tool targets a different workflow from metadata inspection to data engineering.

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REST Catalog Credential Vending for Lakehouse Security

REST Catalog Credential Vending for Lakehouse Security

Iceberg REST catalog credential vending issues short-lived, table-scoped storage tokens for S3, ADLS, and GCS. How Polaris, Snowflake Horizon, Databricks Unity Catalog, and Dremio implement credential vending for secure lakehouse storage access.

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