In this article we’ll look at a few examples of how you can incorporate Athena in different data architectures and to support various use cases – streaming analytics, ad-hoc querying and Redshift cost reduction. This is a guide to continuously add, remove, and refactor the components to meet your business objective and to fight complexity. This doesn't mean everything can be simply rearchitected to use one or two products. Translate business needs into data and system requirements. Here, we've exploited the Analytics service available within Couchbase. Data Architecture¶ Every business, small or large SHOULD have a data architecture. Let's use a modern database like Couchbase which simplifies the infrastructure by providing scalable Cache, Database, Search, and Event processing within the same product. Cookies SettingsTerms of Service Privacy Policy, We use technologies such as cookies to understand how you use our site and to provide a better user experience. Published at DZone with permission of Keshav Murthy, DZone MVB. According to the Data Management Body of Knowledge (DMBOK), Data Architecture “includes specifications used to describe existing state, define data requirements, guide data integration, and control data assets as put forth in a data strategy.” Data Architecture bridges business strategy and technical execution, and according to our 2017 Trends in Data Architecture Report: “Data Architecture is as much a business decision as it is a technical one, as new business models and entirely new ways of working are driven by data and information.”. Over a million developers have joined DZone. Who owns what data. in red  One possible architecture for a data system that combines several components". One bye one, we can replace each independent component with a scalable feature in Couchbase feature ( After using the same technique to use Couchbase and remove unnecessary components, we get this: Again, let's remove the unnecessary parts to get the new architecture. In the book Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems, Martin Kleppmann has written about traits and trade-offs of elements of data infrastructure for modern applications. Taking architectural examples from the book Designing Data-Intensive Applications, this article looks at how adding Couchbase simplifies architecture. Opinions expressed by DZone contributors are their own. We may share your information about your use of our site with third parties in accordance with our, Education Resources For Use & Management of Data, Data Management Body of Knowledge (DMBOK), (DalleMule and Davenport, Harvard Business Review, Concept and Object Modeling Notation (COMN), “Common vocabulary expressing integrated requirements ensuring that data assets are stored, arranged, managed, and used in systems in support of an organizational strategy.”, “A set of rules, policies, and models that determine what kind of data gets collected, and how it gets used, processed and stored within a database system.” (, “Using data effectively and built on a foundation of business requirements.”, “Describes how data is collected, stored, transformed, distributed and consumed. - William Strunk Jr., Elements of Style. Data Architecture can be synthesized into the following components: Other Definitions of Data Architecture Include: Visual Example of Data Architecture Elements: Image used under license from Shutterstock.com, © 2011 – 2020 DATAVERSITY Education, LLC | All Rights Reserved. Manage complex data and information delivery throughout the enterprise. More components will increase complexity. Strategically prepare organizations to quickly evolve and to take advantage of business opportunities inherent in emerging technologies. ...a drawing should have no unnecessary lines and a machine no unnecessary parts. The tendency of any infrastructure is to increase complexity. Facilitate alignment of IT and business systems. For each use case, we’ve included a conceptual AWS-native example, and a real-life example provided by Upsolver customers. In the core a data architecture gives the overview and insights into the only one real value of your IT: Information. Figure 1 below is the architecture from the book. : What data is used where and how. Let's remove the unnecessary parts to get the new architecture. Facilitate alignment of IT and business systems. Example 2: I've added an additional common use case: data analysis and DataViz. See the original article here. ). Visual Example of Data Architecture Elements: Image Credit: Shutterstock.com. Join the DZone community and get the full member experience. This includes personalizing content, using analytics and improving site operations. Example Architectures for Data-Intensive Applications, Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems, Developer Businesses Use Data Architecture to: Strategically prepare organizations to quickly evolve and to take advantage of business opportunities inherent in emerging technologies. This is an exploration that example and possible architecture with Couchbase. In that book, he has drawn "Figure 1-1. A data architecture gives overviews, visuals and describes e.g. Marketing Blog. IT includes rules governing structured formats, such as databases and file systems, and the systems for connecting data with the business process that consume it.”, “Models, policies, rules, or standards that govern which data is collected, and how it is stored, arranged and put to use in a database system and or in an organization.” (. Advantage of business opportunities inherent in emerging technologies, visuals and describes.. Strategically prepare organizations to quickly evolve and to take advantage of business opportunities inherent in technologies. Analysis and DataViz scalable feature in Couchbase feature ( in red ) can! Businesses use data architecture Elements: Image Credit: Shutterstock.com each use case, we ’ ve a! Meet your business objective data architecture examples to take advantage of business opportunities inherent emerging! 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