How deeply does Effective Platform Engineering cover data governance?

Connects governance requirements to platform guardrails and automation, but stops short of specifying a complete governance operating model.

Data governance

As explained in Effective Platform Engineering

Governance is the set of policies, controls, and decision processes that direct and constrain organizational technology practices.

Data governance directs and constrains technology practices through policies, controls, and decisions about data access, security, compliance, and trust. It is not a separate approval layer that platform engineering can ignore: security, audit, Infosec, Legal, and Governance retain distinct requirements that must shape how software is delivered. section 4.0

Effective governance turns stakeholder requirements into platform behavior:

Require controls on sensitive dataset APIs so that only authorized users can access them. section 4.0
Preserve nonterminable evidence for every deployment when audit requirements demand SOX compliance. section 4.0
Establish baseline security services for every cluster, then mature those guardrails into automated governance. section 8.2.1
Keep secrets management available within deployment definitions when a deployer such as Argo or Flux performs delivery outside the release pipeline. section 8.2.1

The practical goal is invisible, always-on governance: controls integrated into the platform experience rather than added as an afterthought or a recurring barrier. This approach reduces developer friction while giving security and compliance teams consistent assurance, and it can be applied incrementally across new or existing platform environments. section 8.2.1 section 4.0

How Effective Platform Engineering covers it

liveBook manning.com

Read Effective Platform Engineering on liveBook Get the book at manning.com

Also explained in

liveBook manning.com

Generative AI in ActionData governance is the framework of policies, responsibilities, and controls for managing data quality, access, use, and compliance.
liveBook manning.com

Architecture Modernization: Socio-technical alignment of software, strategy, and structureData governance is the system of policies, responsibilities, and controls for managing data quality, security, consistency, and appropriate use.
liveBook manning.com

Architecting an Apache Iceberg LakehouseData governance comprises the policies, processes, and controls for ensuring that data is managed, protected, documented, and used appropriately.
liveBook manning.com

Digital Twins in ActionGovernance is the framework of ownership, accountability, decision rights, controls, and processes that directs and oversees a system.
liveBook manning.com

Machine Learning System DesignA data governance framework is a coordinated set of roles, responsibilities, policies, and processes for managing data quality and use.
liveBook manning.com

Introduction to Generative AI, Second EditionData governance is the set of policies, processes, roles, and controls that determine how data is collected, managed, used, protected, and overseen.
liveBook manning.com

First-Party Data ActivationData governance is the set of policies, roles, controls, and practices that manage data quality, access, security, and responsible use.
liveBook manning.com

Snowflake Data EngineeringData governance is the framework of policies, roles, standards, and controls for managing data availability, quality, security, and compliance.
liveBook manning.com

Kafka for ArchitectsData governance is the organizational discipline of defining and enforcing policies for managing data and its use.

Compare how 10 books explain data governance →

Related concepts

data contractpart of · A data contract is an agreement specifying the structure, meaning, and expectations for data exchanged between producers and consumers.
AI Actconfigured by · The AI Act is a European Union regulation establishing harmonised, risk-based requirements for the development, placing on the market, and use of artificial intelligence systems.
GDPRconfigured by · The General Data Protection Regulation (GDPR) is a European Union regulation governing the processing of personal data and protecting individuals’ rights concerning that data.
lakehouse catalogconfigured by · A catalog is a service or interface that registers lakehouse tables, resolves their metadata, and coordinates table updates across data engines.
first-party data strategypart of · A coordinated plan for collecting, storing, governing, analyzing, and activating an organization’s first-party data.

This explainer was generated by Manning's knowledge graph from the text of Effective Platform Engineering. The section links point to the parts of the book it draws on.