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Data

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Data platforms, pipelines, analytics, and database solutions on Google Cloud. Includes BigQuery, Dataflow, and data engineering practices.

Topics​

  • Data Anonymization Knowledge Base — anonymization and privacy engineering: learning path, reference modules, cheat sheets, and client templates
  • Data Lakehouse Knowledge Base — lakehouse architecture on GCP: Iceberg fundamentals, the three GCP implementation patterns, BigQuery/Spark/Trino/Databricks as transformation engines, catalog federation, and cross-cloud data access
  • Data Validation Tool — migration validation tooling: a market comparison and a hands-on DVT runbook for Oracle / PostgreSQL to BigQuery
  • Data Assessment — how we assess data before a DWH migration or a green-field DWH build