Open Data Protocol (OData)
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The document discusses the Open Data Protocol (OData), emphasizing its role in facilitating effective data sharing across various platforms, including cloud services and on-premises data. It outlines the need for a uniform interface to manage data interoperability and provides a concise overview of OData's functionalities, including data representation and common operations. Additionally, it highlights the adoption of OData among major products and companies in the industry.
Open Data Protocol (OData)
- 1. Open Data Protocol (OData)Pablo CastroSoftware ArchitectMicrosoftpablo.castro@microsoft.com
- 2. Industry TrendsData Silos -> Open DataImpacts government, science and enterpriseWeb Sites -> Web APIsDevice/Language/Runtime proliferation On Premises -> CloudIncludes shift to Web API’sAPIs need to support both on-premises and cloud
- 3. Data SharingEffective data sharing is trickyAvoid imposing how data should be accessedProvide a uniform interface to all dataMaintain consistency & business logic rulesSemantics may come with data or added separatelyEnabling interoperabilityBuild on existing infrastructureHTTP, JSON, etc.Establish common patternsMost data services need filters, sorting, paging, etc.
- 4. OData in 1 SlideUniform way of representing structured dataAtom, JSON formatsUniform URL conventionsNavigation, filtering, sorting, paging, etc.Uniform operationsAddressabilityGET, POST, PUT, DELETE always mean the sameKeep the barrier of entry as low as possible
- 5. Using ODataServer frameworksWCF Data Services (.NET), odata4j (java), RubyClient environmentsAndroid, iOS, Windows Phone 7, HTML/JavaScript, Silverlight, Java, PHPProductsMicrosoft: SharePoint, Dynamics, Reporting Services, …Other companies: IBM, SAP, WebNodes, Telerik, Tableau, Pebble Reports, …