Blog
Launch state starts with no public posts.
2026-03-10
How to design Looker Explores that business users actually understand. Covers labeling conventions, join best practices, field grouping, and documentation patterns.
Read post →2026-03-08
Understand SQL fanouts in Looker — why joined tables produce incorrect counts and sums, how to detect fanouts, and three patterns to prevent them.
Read post →2026-03-06
How Looker caching works, how to configure datagroups for optimal performance, and the caching patterns that align refresh with your ETL schedule.
Read post →2026-03-04
A decision framework for what belongs in dbt and what belongs in Looker. Stop duplicating logic across your data stack — here's where each transformation should go.
Read post →2026-03-03
Five practical, high-ROI AI use cases you can implement today — from internal knowledge search to automated reporting. No hype, just what works.
Read post →2026-03-02
A practical guide to migrating from Looker to Omni Analytics — why most migrations fail, how our AI-powered tool handles the hard parts, and a step-by-step approach.
Read post →2026-03-01
A side-by-side comparison of Omni Analytics and Google Looker — schema layer vs LookML, AI features, pricing, migration path, and when each tool makes sense.
Read post →2026-02-28
Why a fractional Head of Data beats a full-time hire for most mid-market companies — and what the engagement actually looks like.
Read post →2026-02-25
How Looker's tabbed dashboard components transformed slow, monolithic dashboards into sub-10-second experiences — implementation guide with real performance results.
Read post →2026-02-25
How to organize your Looker project with auto-generated views, refinements, and a clean folder structure that doesn't fall apart at 500 views.
Read post →2026-02-22
How to build an automated Looker content cleanup pipeline using the Looker SDK — identify stale dashboards, unused Looks, and orphaned content every 90 days with results stored in BigQuery.
Read post →2026-02-20
A practical guide to Looker permissions — groups-first access, row-level security, column-level grants, and the folder structure that keeps content governed.
Read post →2026-02-18
How to manage users, roles, and permissions in Omni Analytics at scale using Hawkfry Group's open-source omni-user-manager tool — bulk provisioning, role assignment, and lifecycle automation.
Read post →2026-02-15
A curated guide to the Omni Analytics ecosystem — tools, documentation, community resources, migration guides, and open-source projects for teams adopting Omni.
Read post →2026-02-12
How to architect a modern BI stack with dbt, BigQuery, and Looker — layer separation, transformation best practices, LookML patterns, and the role of AI in the modern analytics pipeline.
Read post →