About this publication

Data Warehouse Info is a practitioner's reference for analytical data warehousing, written by and for the engineers who do the work. The audience is the person who is already building or maintaining a warehouse in production, not the person evaluating whether warehousing is the right category.

What we cover

Seven subjects: warehouse fundamentals, dimensional modeling, data vault modeling, loading and operations, modern warehouse platforms, warehouse automation, and analytics modeling. Each subject has a pillar article that defines the territory, technique deep-dives on the specific moves that decide whether a warehouse holds up at scale, comparisons that contrast the viable choices on a given decision, and a working glossary that pins the vocabulary as practitioners actually use it.

How we work

The publication is vendor-neutral. Articles name the platforms that practitioners actually use (Snowflake, BigQuery, Redshift, Databricks, dbt, Fivetran, and the rest) as editorial subjects, and compare them on the trade-offs that matter for warehouse work. We do not write product walkthroughs, do not source content from any vendor's marketing material, and do not author content on behalf of any vendor.

When a technique can be implemented on top of multiple platforms, the article describes the technique. When the platform choice changes the technique, the article describes the trade-off. Neither shape is a product pitch.

Advertising

The publication is funded by display advertising. Ad inventory appears in generic slots labeled Advertisement using the publication's print-style ad-slot vocabulary. Ads look identical regardless of which advertiser bought the impression, and a reader cannot tell from the page chrome, masthead, footer, or any editorial content which advertisers, if any, have a commercial relationship with the publication.

There are no embedded vendor calls-to-action inside editorial content. Articles are not sponsored. Authors are not paid by vendors. If a passage reads as if it were uniquely true of one product, we treat that as a mistake and revise.

Courses

The courses surface (currently being built) is video-based and recorded against a real warehouse automation platform whose user interface is visible in the recordings. The course landing pages and the opening of each first lesson carry a plain disclosure naming this. The techniques the videos demonstrate apply across the category of similar tools; the principles are vendor-neutral and the written notes that accompany each lesson describe the technique in platform-agnostic terms.

Corrections

If you spot an error, an outdated claim, a misattribution, or a passage that reads as vendor-aligned, write to editor@datawarehouseinfo.com. Substantive corrections are dated in the article's revisions footer.

Contact

Editorial: editor@datawarehouseinfo.com. Pitches, corrections, and reader mail are welcome at the same address.

Editor

Farhan Ahmed Khan

Edits Data Warehouse Info. Writes on dimensional modeling, warehouse loading, and agentic data warehousing.