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Incremental PDTs in Practice: increment_key, increment_offset, and Builds That Do Not Rescan History

September 9, 2026 · Vistelio

Rebuilding a three-year PDT every night to add one day of data is a warehouse bill you do not need to pay. This tutorial covers incremental PDTs end to end: choosing an increment_key, sizing increment_offset for late-arriving data, partitioning so the increment is actually cheap, verifying the build SQL, and the failure modes that quietly produce wrong numbers.

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Interviewing Looker Developers in 2026: Interview Questions

August 25, 2026

Interviewing Looker developers in 2026: updated questions covering LookML modeling, BigQuery Editions and cost, aggregate awareness, row-level security, API 4.0 and CI with LAMS and Spectacles, Looker (Google Cloud core) migration, and Gemini in Looker readiness, with a scoring approach.

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Does Gemini Replace Your Looker Developer?

August 25, 2026 · Vistelio

An honest take: what Conversational Analytics does well, where it fails without a curated LookML model, and how the Looker developer's job shifts toward semantic-layer curation, evaluation and guardrails, with hiring implications.

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