Articles on Semantic Layers and the Lakehouse

Agent-Driven Storage Tiering for Apache Iceberg: Moving Cold Data Without Breaking Queries

Securing the Agentic Lakehouse Gateway: Preventing Prompt Injection and Data Exfiltration

Apache Ossie and Apache Polaris: Putting Semantic Models in the Open Catalog

FSST and ALP: The Two Encodings Fixing Parquet's Weakest Compression Cases

DataFusion Comet 1.0 and What Native Rust Scans Change for Spark on Iceberg

Arrow Flight SQL and ADBC: Why the Database Driver Is the Slowest Part of Your Query

Governance-as-Code for the Lakehouse: Managing REST Catalog RBAC and Masking in Git

High-Throughput Branch Merging: Automating Concurrency and Conflict Resolution in Multi-Branch Iceberg Pipelines

Multi-Cloud REST Catalog Topologies: Running Apache Polaris Across AWS, Azure, and GCP

Parquet-Only Manifests in Iceberg v4: Why the Metadata Layer Is Going Columnar

Query Routing at Machine Scale: Dynamic Workload Distribution Across Lakehouse Engines

Semantic Layer Federation: One Logical Model Over Data on Three Clouds

Metric Contracts in Code: Testing, Versioning, and Serving Business Logic to Multi-Agent Systems

Serverless Iceberg Ingestion with PyIceberg and DuckDB: Micro-Batches Without a Spark Cluster

Zero-Copy Warehouse Modernization: Migrating Legacy Databases to Apache Iceberg Without Downtime

The Agent Is Now a Named Coworker, and It Needs a File Format

Your Agent Should Answer the Phone: A Field Guide to AI Gateways on Slack, Discord, Telegram, Signal, and Teams

Graphs in AI Engineering Have Solved Three Problems. The Fourth Is the Plan.

The Hidden Cost of Tiny Iceberg Commits