How deeply does Effective Platform Engineering cover data layer?

Defines datastore interfaces, technology-specific implementations, repository integration, and automated architectural checks.

Data layer

As explained in Effective Platform Engineering

A datastore layer is an architectural layer that encapsulates access to a database technology.

A data layer encapsulates access to database technology behind a stable interface. Services depend on repository functions rather than cloud- or vendor-specific database APIs, reducing rewrite effort when infrastructure changes. section 2.3.3

A practical data-layer design:

Provides datastore implementations for supported database technologies. section 2.3.3
Exposes a common datastore interface to the repository layer. section 2.3.3
Uses automated fitness functions to enforce permitted layer dependencies and assess architectural adherence. section 2.3.3

Cloud and database migration

A service can move between GCP and another cloud, or change from AWS RDS for PostgreSQL to Aurora Serverless for MySQL, by rebuilding with a different datastore library instead of rewriting service and repository code. section 2.3.3

How Effective Platform Engineering covers it

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Also explained in

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React in DepthThe data layer is the application-stack layer responsible for data management and state flow.
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AI-Powered Developer: Build software with ChatGPT and CopilotA data access layer is the part of an application responsible for communicating with data stores while isolating that communication from other application logic.
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The Well-Grounded Data AnalystA data access layer is a software layer that reads, retrieves, and prepares data for other application components.
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Java Persistence with Spring Data and Hibernate epubThe persistence layer is the architectural layer responsible for loading and storing domain-model state in durable storage.
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Financial AI in PracticeAn architecture layer containing governed data assets and the processes that prepare them for analysis and modeling.

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Related concepts

feature engineeringhas part · Feature engineering is the creation, transformation, or selection of input features from data to provide useful representations for analysis or modeling.
four-layer architecturepart of · A four-layer architecture organizes a system into four distinct layers, each with separate responsibilities.
pipelinehas part · A pipeline is an ordered or coordinated sequence of connected processing stages or tasks that passes data, work, or results toward an outcome.
databaseuses · A database is an organized collection of persistent data managed by software for storage, retrieval, querying, and modification.
multi-tier applicationpart of · A multi-tier application is an application organized into distinct tiers that separate responsibilities and interact through defined dependencies or interfaces.

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.