24 December 2017

Data Management: Data Contracts (Definitions)

"Data contracts specifically define the data that is being exchanged between a client and service. The data contract is an agreement, meaning that the client and the service must agree on the data contract in order for the exchange of data to take place. Note that they don't have to agree on the data types, just the contract." (Pablo Cibraro & Scott Klein, "Professional WCF Programming: .NET Development with the Windows Communication Foundation", 2007)

"A data contract is an agreement between a client and a service that conceptually depicts the data to be exchanged. Data contracts define the data types that are used in the service." (Nagaraju B et al, ".Net Interview Questions", 2010)

"The format of the data to be communicated and the logic under which it is created form the data contract. This contract is followed by both the producer and the consumer of the event data. It gives the event meaning and form beyond the context in which it is produced and extends the usability of the data to consumer applications." (Adam Bellemare, "Building Event-Driven Microservices", 2020)

"A data contract is a document that accompanies data movement and captures relevant information (like upstream contacts, service-level agreement, scenarios enabled, etc.)." (Vlad Riscutia, "Data Engineering on Azure", 2021)

"A data contract is a formal agreement between a service and a client that abstractly describes the data to be exchanged. That is, to communicate, the client and the service do not have to share the same types, only the same data contracts. A data contract precisely defines, for each parameter or return type, what data is serialized (turned into XML) to be exchanged." (Microsoft, "Using Data Contracts", 2021) [source]

"A data contract is a written agreement between the owner of a source system and the team ingesting data from that system for use in a data pipeline. The contract should state what data is being extracted, via what method (full, incremental), how often, as well as who (person, team) are the contacts for both the source system and the ingestion." (James Densmore, "Data Pipelines Pocket Reference", 2021)

"It's a formal agreement between the data producer and the data consumers. There is not yet a clear definition of the form and scope of a data contract. Usually, they cover the structure of the exchanged data (i.e. the schema) and its meaning (i.e. the semantics)." (Open Data Mesh, "Data Contract", 2022) [source]

"A data contract is an agreed interface between the generators of data and its consumers. It sets the expectations around that data, defines how it should be governed, and facilitates the explicit generation of quality data that meets the business requirements." (Andrew Jones, "Driving Data Quality with Data Contracts", 2023)

"A data contract is an agreement between the producer and the consumers of a data product. Just as business contracts hold up obligations between suppliers and consumers of a business product, data contracts define and enforce the functionality, manageability, and reliability of data products." (Atlan, "Data Contracts: The Key to Scaling Distributed Data Architecture and Reducing Data Chaos", 2023) [source]

"Data contracts are formal agreements outlining the structure and type of data exchanged between systems, ensuring all parties understand the data's format. Used in various contexts such as APIs, SOA, data pipelines, they provide crucial interoperability, making data contracts essential in managing and controlling data flow effectively." (Jatin Solanki, "What is Data Contracts, is it a hype?", 2023) [source]

"A formal agreement between a data consumer or user and a data provider or owner that defines the conditions under which the data is exchanged between both parties." (Circ Thread)

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IT Professional with more than 24 years experience in IT in the area of full life-cycle of Web/Desktop/Database Applications Development, Software Engineering, Consultancy, Data Management, Data Quality, Data Migrations, Reporting, ERP implementations & support, Team/Project/IT Management, etc.