Weekly briefing

A quieter way to keep up

The Intelligence Brief is designed to turn a noisy week in data technology into a short, useful briefing for modern data teams.

Every edition

Data stories

The platform, governance and team changes most worth knowing this week.

Product signals assessed for practical relevance—not repeated from a launch post.

One action or question to carry into your next planning conversation.

Frequency: Weekly
Format: Short editorial briefing
Audience: Data engineers, BI teams, analytics leaders and AI/data practitioners

Editorial scope

The recurring areas where platform shifts, operating choices and new tools have practical consequences for data teams.

Pipelines, transformation, orchestration and reliable delivery.

Practical agents, ML workflows, evaluation and responsible automation.

Semantic layers, decision products and the changing shape of business intelligence.

Warehouses, lakehouses, open formats and platform economics.

Ownership, access, quality, privacy and accountable data use.

How tools connect across the lifecycle—and where overlap creates tradeoffs.

Skills, roles and operating habits for resilient data careers.

Inside an edition

A realistic example of the editorial rhythm. This is a preview, not a sent edition.

The Intelligence Brief

Editorial preview

01

Data engineering

Snowflake AI pipeline updates — What data engineers should test first.
02

Cloud platforms

AWS and Apache Iceberg — Why open table formats matter.
03

Migration

Maia migration agent — What legacy ETL teams should understand.
04

BI and analytics

Sigma and modern BI — Where warehouse-native analytics is heading.
05

Practical takeaway

One useful next step — Map the owner, test plan and rollback path before introducing an AI-assisted production workflow.