775 tutorials · free to read

A working handbook for data and software engineering.

Hands-on tutorials by Alex Merced on Apache Iceberg, the data lakehouse, pipelines, agentic AI, and the languages and tools that hold it all together.

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  1. 01Implementing MCP in the LakehouseHow 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.
  2. 02Modern Python Tooling for Apache IcebergPyIceberg, 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.
  3. 03REST Catalog Credential Vending for Lakehouse SecurityIceberg 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.
  4. 04SaaS Buyers Now Inspect Your Semantic LayerEnterprise SaaS procurement in 2026 evaluates how platforms expose data to AI agents. Semantic layers have become a decision criterion alongside dashboards and APIs.
  5. 05Securing Agent Identities in the LakehouseHow OAuth 2.0 token exchange, OAuth 2.1 device authorization grant, credential vending, and fine-grained access control secure AI agent identities in the Iceberg lakehouse.
  6. 06Bidirectional Iceberg Writes with Horizon CatalogSnowflake Horizon Catalog enables bidirectional Iceberg writes from external engines like Spark and Trino, powered by Apache Polaris. Deep dive into REST Scan Plan API, governance, and Snowflake Summit 2026 announcements.