Tag: data-engineering

2026-06-08 • Alex Merced

Agentic Lakehouse Concurrency and Isolation

Agentic writes need isolation contracts, not just write permissions....

2026-06-08 • Alex Merced

Anatomy of an Agentic Lakehouse

An Agentic Lakehouse is storage, catalog governance, semantic context, and agents working as one operating model....

2026-06-08 • Alex Merced

Apache Iceberg v4 Roadmap and Metadata Trees

The next open table format fight is not about who can store Parquet files. It is about who can plan large tables cheaply...

2026-06-08 • Alex Merced

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....

2026-06-08 • Alex Merced

Real-Time Agentic Analytics with ClickHouse

Real-time agents need analytical systems that can answer while an event still matters....

2026-06-08 • Alex Merced

Composable Analytics Beats Metric Catalogs

Metric catalogs tell agents what terms mean. Composable analytics tells agents how to reason with those terms safely....

2026-06-08 • Alex Merced

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....

2026-06-08 • Alex Merced

Iceberg Remote Signing for Regulated Datasets

Remote signing is the stricter pattern for lakehouse storage security because clients request signed file operations ins...

2026-06-08 • Alex Merced

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....

2026-06-08 • Alex Merced

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....

2026-06-08 • Alex Merced

The 2026 Guide to Iceberg View Federation

Portable views are the missing logic layer between open tables and multi-engine analytics....

2026-06-08 • Alex Merced

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....

2026-06-08 • Alex Merced

Microsoft Fabric Build 2026 Agentic Analytics Stack

Microsoft's Fabric direction shows that agentic analytics is becoming a platform architecture, not a chat feature....

2026-06-08 • Alex Merced

Modern Python Tooling for Apache Iceberg

Python has become a practical Iceberg control plane for metadata work, catalog automation, and smaller operational workf...

2026-06-08 • Alex Merced

REST Catalog Credential Vending for Lakehouse Security

Credential vending lets the catalog issue short-lived storage access instead of spreading permanent cloud keys across ev...

2026-06-08 • Alex Merced

SaaS Buyers Now Inspect Your Semantic Layer

Enterprise SaaS buyers increasingly want machine-readable data contracts, not only dashboards....

2026-06-08 • Alex Merced

Securing Agent Identities in the Lakehouse

Every lakehouse agent needs its own identity, scope, and audit trail....

2026-06-08 • Alex Merced

Bidirectional Iceberg Writes with Horizon Catalog

Bidirectional Iceberg interoperability changes managed Iceberg from a read surface into a shared write contract....