Posts - Page 19
All the articles I've posted, page 19.
- 31 MIN READ•Jul 24, 2026
The Breakdown of the Open Lakehouse in 2026: Iceberg, Arrow, Polaris, Parquet, and Ossie, and How to Actually Build One
A detailed breakdown of the five Apache projects powering the open lakehouse in 2026, Parquet, Iceberg, Polaris, Arrow, and Ossie, and how to build one.
Apache IcebergApache ParquetApache Arrow - 31 MIN READ•Jul 24, 2026
The Own Goal: What the Hugging Face Breach Reveals About Why Open Models Are a Security Necessity
How the 2026 Hugging Face breach proved that open models are a security necessity, closed models failed to defend, an open Chinese model succeeded.
AI SecurityOpen SourceOpen Models - 20 MIN READ•Jul 13, 2026
Active Analytics Loops for AI Action Agents
The seven steps of an active analytics loop where agents watch signals, validate causes, and act with approval, plus tool design, guardrails, and case studies.
AI AgentsAnalyticsData Engineering - 17 MIN READ•Jul 13, 2026
Apache Polaris and Multi-Engine Iceberg Catalogs
Why open Iceberg tables need an open catalog, and how Apache Polaris implements the REST catalog with delegated RBAC across Spark, Flink, Trino, and Dremio.
Apache PolarisIceberg CatalogInteroperability - 18 MIN READ•Jul 13, 2026
Automated Materialized Views in Dremio
How Dremio Reflections, Autonomous Reflections, and automatic Iceberg table optimization replace cron-based maintenance, and how to measure savings honestly.
DremioMaterialized ViewsLakehouse Optimization - 18 MIN READ•Jul 13, 2026
The Chase-Catch Gap in Enterprise AI Agents
Why enterprise AI agent pilots stall between demo and production, and how a knowledge layer, readiness metrics, and lakehouse architecture help close that gap.
AI AgentsEnterpriseAgentic AI - 18 MIN READ•Jul 13, 2026
Data Lakehouse Open Standards for AI Agents
Why AI agents expose data silos, and how Iceberg tables, REST catalogs, and federated query across object stores give agents one governed path to company data.
LakehouseOpen StandardsAI Agents - 18 MIN READ•Jul 13, 2026
Dremio Lakehouse AI Report: Agentic Lessons
Directional signals from Dremio's State of the Data Lakehouse report on AI: semantic consistency, autonomous performance, governance, and an agent-ready plan.
DremioLakehouseAI Report - 18 MIN READ•Jul 13, 2026
Five-Layer Agentic Lakehouse Architecture
A five-layer pattern for trusted agentic analytics (data, knowledge, agents, tools, policy), how one request moves through it, and a checklist for your stack.
Lakehouse ArchitectureAI AgentsEnterprise - 18 MIN READ•Jul 13, 2026
GSA MCP Servers for Open Data AI Agents
Why federal open data needs agent-ready interfaces, what MCP adds over legacy APIs, the GSA hackathon as a signal, and a blueprint for a read-only SQL MCP tool.
MCPGovernmentAI Agents - 18 MIN READ•Jul 13, 2026
Hybrid Lakehouse Design for Regulated Markets
How regulated firms keep data on-prem in Iceberg tables on private object storage while sharing approved metadata via Nessie or Polaris and read-only gateways.
Hybrid LakehouseRegulated MarketsData Engineering - 17 MIN READ•Jul 13, 2026
Iceberg v3 Deletion Vectors and Faster DML
Copy-on-write versus merge-on-read in Iceberg, how v3 deletion vectors track row-level deletes, what readers pay, and compaction patterns for high-churn tables.
Apache IcebergIceberg v3Deletion Vectors