Data quality SLOs for one dataset: consumers and consequences, five indicators with targets, observation log, error budget and burn-rate alerting

Data Quality SLOs: 5 Proven Indicators, Error Budgets and Burn-Rate Alerts on dbt and Airflow

Every data platform we take over has data quality checks. Hundreds of them, usually: not_null tests on every column, row-count assertions, a freshness dashboard nobody looks at, and a Slack channel where the failures scroll [...]

Master data management on PostgreSQL: source, candidate, master, attribute lineage, effective-dated crosswalk and history tables

Master Data Management on PostgreSQL: 6 Proven Tables That Make Every Golden Record Explainable

Most master data management programmes we are asked to rescue did not fail on matching algorithms. They failed because nobody could answer, for a given customer number on a given invoice, which source system's address [...]

Metrics layer on dbt and MetricFlow: sources, marts, semantic models and metrics compiled into BI, notebook and decision API queries

Metrics Layer with dbt: 5 Proven Tests That Keep One Definition per Number

Ask three teams in the same company for last quarter's net revenue and you will usually get three numbers. Finance excludes returns booked after period close, marketing counts gross of discounts because that is what [...]

BigQuery SOX Compliance Checklist: 12 Proven Controls

A production-tested BigQuery SOX compliance checklist: IAM, CMEK, audit-log retention, change management, and the SQL evidence queries auditors accept.

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Fractional Chief Data Officer reference data platform architecture spanning sources, ingestion, SQL, NoSQL, NewSQL, column stores, lakehouse storage, governance and consumption layers

Fractional Chief Data Officer: 7 Proven Real-Time Analytics Wins

A Fractional Chief Data Officer from MinervaDB gives an enterprise board-level data leadership — strategy, architecture, governance and operations — on a part-time, fixed-fee basis. When that mandate is pointed squarely at real-time analytics, the [...]

Medallion Architecture Data Governance: Rebuilding a Consumer Goods Data Platform

Every data leader has seen it at some point: a data lake that started with the best intentions but gradually turned into a digital quagmire. Raw files piled on top of raw files, schema drift […]

Single Source of Truth Databricks Lakehouse: How a Logistics Operator Unified Data

Single source of truth Databricks Lakehouse — this powerful combination represents the modern solution to one of logistics’s most persistent operational challenges. When a business depends on more than ten distinct operational systems — from […]