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Google Cloud

  • Download: Data Product Contract Pack

    This download bundle helps Data Platform Engineer teams define contracts for schema, quality, lineage, and ownership using Contract and change review in Google Cloud environments. It emphasizes separate ingestion reliability from consumption semantics and provides implementation decisions that can be reviewed without relying on vendor or customer claims.

  • Video Tutorial: Validate a Data Product Contract

    This video tutorial helps Data Engineer teams define contracts for schema, quality, lineage, and ownership using Schema and quality checks in Google Cloud environments. It emphasizes separate ingestion reliability from consumption semantics and provides implementation decisions that can be reviewed without relying on vendor or customer claims.

  • Video Tutorial: Investigate a Cloud Cost Anomaly

    This video tutorial helps FinOps Practitioner teams make cost allocation and unit economics understandable to engineering owners using Billing export and ownership tags in Google Cloud environments. It emphasizes pair guardrails with transparent decision rights and provides implementation decisions that can be reviewed without relying on vendor or customer claims.

  • Data Product Contract Template

    This template helps Data Platform Engineer teams define contracts for schema, quality, lineage, and ownership using Schema, quality, lineage, ownership in Google Cloud environments. It emphasizes separate ingestion reliability from consumption semantics and provides implementation decisions that can be reviewed without relying on vendor or customer claims.

  • Illustrative Case Study: Building FinOps Accountability for Retail Engineering

    This illustrative case study helps FinOps Practitioner teams make cost allocation and unit economics understandable to engineering owners using Billing export, labels, ownership workflow in Google Cloud environments. It emphasizes pair guardrails with transparent decision rights and provides implementation decisions that can be reviewed without relying on vendor or customer claims.

  • Data Platform Operating Models That Scale

    This ebook helps Data and Analytics Leader teams offer governed data capabilities through repeatable platform interfaces using Data products, platform services, governance in Google Cloud environments. It emphasizes design isolation, lineage, and lifecycle policies into the platform and provides implementation decisions that can be reviewed without relying on vendor or customer claims.

  • Implement Data Product Contracts in a Lakehouse

    This technical guide helps Data Platform Engineer teams define contracts for schema, quality, lineage, and ownership using Schema registry, lineage, quality checks in Google Cloud environments. It emphasizes separate ingestion reliability from consumption semantics and provides implementation decisions that can be reviewed without relying on vendor or customer claims.

  • Planning Data Backfills Without Breaking Downstream Consumers

    This knowledge base article helps Data Engineer teams define contracts for schema, quality, lineage, and ownership using Data contracts and backfill orchestration in Google Cloud environments. It emphasizes separate ingestion reliability from consumption semantics and provides implementation decisions that can be reviewed without relying on vendor or customer claims.

  • Recognizing Retrieval Failures in RAG Applications

    This knowledge base article helps AI Engineer teams treat retrieval quality, permissions, provenance, and answer evaluation as one design using Chunking, embeddings, ranking, evaluation in Google Cloud environments. It emphasizes preserve source-level access controls through indexing and retrieval and provides implementation decisions that can be reviewed without relying on vendor or customer claims.

  • Google Cloud Shared VPC Platform Baseline

    This reference architecture helps Cloud Platform Engineer teams build self-service capabilities around paved paths and clear contracts using Shared VPC, Cloud IAM, Cloud Logging in Google Cloud environments. It emphasizes treat platform APIs and documentation as products and provides implementation decisions that can be reviewed without relying on vendor or customer claims.