Data contract
A data contract is an agreement specifying the structure, meaning, and expectations for data exchanged between producers and consumers.
Kafka for Architects
A data contract is an agreement specifying the structure and evolution expectations that producers and consumers share for exchanged data.
- How it is used
- Aligns producers and consumers on the structure and meaning of Kafka events exchanged across service boundaries.
- How deep it goes
- Defines structure, channel, and trigger semantics, then develops ownership and evolution practices; trigger logic remains outside Kafka’s direct model.
- Examples
- Illustrates contract choices through full-profile and immutable-transaction fact events for a Customer 360 operational data store.
- What you can do after
- Evaluate/understand it: choose event structures, assign producer ownership, and plan compatible changes with consumer teams.
Designing Deep Learning Systems: A guide for software engineers
An explicit agreement defining the data structure and expectations shared between an upstream producer and a downstream consumer.
- How it is used
- Defines producer-consumer handshakes for training data across multiple teams and projects.
- How deep it goes
- Explains a two-schema implementation with validation, conversion, commits, and versioned snapshots.
- Examples
- Uses a TEXT_INTENT CSV input and examples.csv plus labels.csv training output.
- What you can do after
- Operate/configure it by defining ingestion and training schemas that isolate producers from consumers.
Read how Designing Deep Learning Systems: A guide for software engineers explains data contract →
Architecture Modernization: Socio-technical alignment of software, strategy, and structure
A data contract is a formal specification of the expectations, structure, quality, governance, service levels, and access conditions for data exchanged between producers and consumers.
- How it is used
- Coordinates producer-consumer expectations and governs data-product behavior inside business-unit and enterprise data operations.
- How deep it goes
- Defines contract contents, ownership, responsibilities, and configuration use, while leaving physical architecture dependent on existing infrastructure.
- Examples
- Uses PayPal’s open-source YAML template and sidecars configured for onboarding, monitoring, observability, and notification.
- What you can do after
- Operate/configure reusable data-product components consistently by treating the contract as their shared configuration and behavioral boundary.
Troubleshooting Java, Second Edition
A data contract is an agreed schema and interpretation for data exchanged between software components or services.
- How it is used
- Diagnoses silent service-communication failures caused by incompatible serialized data and independently evolving schemas.
- How deep it goes
- Explains mismatch symptoms, schema evolution, and compatibility concerns, but does not provide a complete compatibility procedure.
- Examples
- Uses added JSON fields, renamed Protobuf enums, changed Java classes, and a Protobuf Order message with optional notes.
- What you can do after
- Diagnose dropped data, default values, and deserialization errors by comparing schemas, models, optionality, and version identifiers.
Read how Troubleshooting Java, Second Edition explains data contract →
Related concepts
- schemaequivalent to · A data schema is a formal specification of the structure, fields, types, relationships, and constraints of data.
- service-level agreementhas part · A service-level agreement is a formal agreement or commitment that specifies measurable service expectations, responsibilities, and related terms between parties.
- sidecar processconfigures · The sidecar pattern deploys an auxiliary process or component alongside a primary application to provide supporting functionality separately from the application’s core code.
- schema registryused by · A schema registry is a service that stores, versions, and provides schemas for structured data, often validating compatibility between schema versions.
- data productused by · A data product is a product, service, or managed data asset whose value is delivered through data, processing, analysis, or data-driven functionality.
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