(01)
Building a privacy-respecting analytics stack post-GA4
GA4 dominated by default, but GDPR/ePrivacy compliance, cookie consent friction, and customer trust have driven many teams to alternatives. Plausible, Umami, PostHog, self-hosted — what actually works in 2026.
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(02)
ETL with dbt for a small data team — practical patterns
A 1-3 person data team can build maintainable analytics with dbt and avoid the typical mess of ad-hoc SQL. Practical patterns for project structure, testing, documentation, and CI without over-engineering.
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(03)
Real-time analytics for SMBs — Snowflake vs ClickHouse vs DuckDB
Snowflake costs $50K+ per year and overkills most SMBs. ClickHouse is free and powerful but requires operations expertise. DuckDB is shockingly fast for the right scale. Practical comparison for SMB analytics in 2026.
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(04)
AppMetrica vs Firebase Analytics: migrating mobile app analytics
By mid-2026 Firebase Analytics in Russia is unreliable: events stop coming, remote config drops. Here is what to switch to and how to migrate without losing data.
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(05)
Funnel diagrams that actually help
Most funnel charts in dashboards are decoration. Three rules to make a funnel that triggers action.
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