Posts - Page 19
All the articles I've posted, page 19.
- 14 MIN READ•Jun 8, 2026
Anatomy of an Agentic Lakehouse
An Agentic Lakehouse is storage, catalog governance, semantic context, and agents working as one operating model.
lakehouseAI agents - 14 MIN READ•Jun 8, 2026
Apache Iceberg v4 Roadmap: Adaptive Metadata Trees, Single-File Commits, and the Delta Convergence
A deep technical breakdown of Apache Iceberg v4's proposed architecture: adaptive metadata trees, one-file commits, relative paths, column families.
apache-icebergopen-table-formatsdata-engineering - 14 MIN READ•Jun 8, 2026
Lakehouse Context Layers with Atlan and Iceberg v3
The context layer explains what lakehouse data means, which is the part table formats do not solve alone.
Apache Icebergopen table formatlakehouse - 15 MIN READ•Jun 8, 2026
Real-Time Agentic Analytics with ClickHouse
Real-time agents need analytical systems that can answer while an event still matters.
AI agentsClickHouse - 15 MIN READ•Jun 8, 2026
Composable Analytics Beats Metric Catalogs
Metric catalogs tell agents what terms mean. Composable analytics tells agents how to reason with those terms safely.
semantic layerdata governancecomposable analytics - 14 MIN READ•Jun 8, 2026
Goal-Directed Analytics Agents on Apache Iceberg
The next step after text-to-SQL is a governed action loop with checks before every external effect.
Apache Icebergopen table formatlakehouse - 14 MIN READ•Jun 8, 2026
Iceberg Remote Signing for Regulated Datasets
Remote signing is the stricter pattern for lakehouse storage security because clients request signed file operations instead of receiving storage credentials.
Apache Icebergopen table formatlakehouse - 14 MIN READ•Jun 8, 2026
Apache Iceberg v3 Deletion Vectors on Snowflake
Deletion vectors matter because row-level changes should not require a full rewrite of every affected data file.
Apache Icebergopen table formatlakehouse - 15 MIN READ•Jun 8, 2026
CDC Without Complexity Using Iceberg v3 Row Lineage
Row lineage gives Iceberg a native way to tell incremental consumers which rows changed and when they changed.
Apache Icebergopen table formatlakehouse - 15 MIN READ•Jun 8, 2026
The 2026 Guide to Iceberg View Federation
Portable views are the missing logic layer between open tables and multi-engine analytics.
Apache Icebergopen table formatlakehouse - 15 MIN READ•Jun 8, 2026
Implementing MCP in the Lakehouse
MCP gives AI clients a standard way to call governed lakehouse tools instead of guessing how to query your data.
lakehousesemantic layerdata governance - 14 MIN READ•Jun 8, 2026
Microsoft Fabric Build 2026 Agentic Analytics Stack
Microsoft's Fabric direction shows that agentic analytics is becoming a platform architecture, not a chat feature.
AI agentsMicrosoft Fabric