![]() ![]() This includes areas of content management, records management, enterprise search and eDiscovery solutions. Mitch’s primarily focus is working with key business stakeholders and technology executive leadership developing technology solutions that support unstructured data. Mitch is a TOGAF 9 Enterprise Architect Certified. Pacific Fleet (CINPACFLT), Honolulu, Hawaii. Mitch’s military tours included serving with Fleet Air Reconnaissance Squadron (VQ-1) in Guam and support staff for Admiral Thomas B. Navy as part of the Naval Security Group tactical electronic support staff. Mitch DeFelice started his career off serving six years in the U.S. Or, you can turn your data lake of facts into an ocean of knowledge using JSON-LD with W3C Semantic specifications as the backbone for knowledge acquisition. In fact, one could dispute that you could be moving the needle backwards with the introduction of referential integrity issues that was addressed above. You can continue to use big data with NoSQL and reduce your infrastructure costs, but provide no additional value for your business over what enterprise data warehouses provides. Pundits scoff at this modeling approach in that RDF is too hard to learn and is not well adopted by the industry in general. At this level, you will have achieved a high efficiency of knowledge acquisition with an overall lower cost of operation. As you move up the line, incorporating more advanced technologies you will increase your knowledge acquisition capabilities, finally reaching to today’s machine learning. The bottom left axis of the graph represents low knowledge acquisition and high cost of operation. #Nosql json modeler fullAnd second, your now are able to provide a full line of sight from both your unstructured and structured data to your business concepts.įigure 1: Line of sight of knowledge representation.įigure 1 represents the line of sight of knowledge acquisition technologies. First, you now have the ability to extract meaning from unstructured data. The benefits of this approach are twofold. There are tools in the market place like Lymba’s Jaguar that have the capability to read unstructured documents and extract the subject, predicate and object out of a sentence and store them as triples in a graph database. The equivalent to XML XSD definition for graph data. RDF supports W3C Shapes Constraint Language standards that provides you with the ability to define the object structure. For an example, in the triple Employee hasSSN 123-45-5678, the predicate hasSSN can be defined so that it cannot be assigned to an organization, as organizations don’t have Social Security Numbers. a rule which restricts which subjects and objects can be used with a given predicate. In RDF, you have the ability to define Domain-Range constraints, i.e. Using JSON-LD to express a RDF framework is a very powerful way to set the foundation for more advanced concepts, with the frameworks ability to define context. JSON-LD is a document that can be described either as a RDF document or as a JSON document. The syntax serializes directly into graphs, ensuring that most real world data models can be expressed. Using JSON-LD in a big data solution requires no extra effort over using JSON. The realization of big data delivering value from both structured and unstructured data is a game changer. ![]() A complete list can be found at /wiki.ĭeveloping a cognitive road map starting with JSON-LD JSON-LD has been adopted by the likes of Google’s Gmail and Search, Microsoft Bing, Yandex, BBC, and the U.S. Furthermore, JSON-LD is backed by another W3C standard called Resource Description Framework (RDF) that provides a canonical data model to represent the data in JSON-LD. JSON-LD is a standard to allow interoperability of data over the internet and defines the concept of context by specifying the vocabulary of types and properties. As technology leaders looking to increase data integrity and the overall resilience of their enterprise, one can only conclude that storing data as JSON objects will inhibit you from achieving these goals.Ĭonsequently, to resolve the short comings of JSON, the W3C standards body has approved a standard for the support of JSON-LD (Linked Data). ![]() ![]() Gartner has published a white paper called: “ Does your NoSQL DBMS Result in Information Governance Debt?” (subscription required). The use of JSON in environments that requires interoperability of data across the enterprise will make governance more challenging. | Get the latest on data analytics by signing up for CIO newsletters. | Beware the 12 myths of data analytics and sure-fire ways organizations fail at data analytics. #Nosql json modeler how toLearn how to use data analytics for decision-making and the secrets of highly successful data analytics teams. ![]()
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