The problem that the Outlier Pattern addresses is preventing a few documents or queries to determine an application's solution. Daniel Coupal and Ken W. Alger February 7, 2019 | Updated: February 26, 2019 #Developer #University. Their Single View application aggregates data from multiple sources into a central repository allowing customer service, insurance agents, billing, and other departments to get a 360° picture of a customer. MongoDB Schema Design Patterns: The Polymorphic Pattern — This post looks at the polymorphic pattern (which is well suited when all documents in a collection are of a similar but not identical structure). If we were not using the Polymorphic Pattern, we might have a collection for Bowling Athletes and a collection for Tennis Athletes. 7 Storing polymorphic classes in MongoDb using C# NoSql databases like Mongo give us advantage of storing our classes directly in data store without worrying too much about schemas.Thus saving us from object-relational impedance mismatch.Common scenario that arises from storing classes is how to handle inheritance hierarchies. We can leverage MongoDB's flexible data model to add a field to the document "flagging" it as an outlier. The pattern embraces the “schemaless” nature of document store NoSQL while allowing the data modeler to use his or her existing skillsets. INDEX WORDS: Polymorphism, Data modeling, NoSQL, IDEF1X, MongoDB, Document store Chapter 3: Mimicking Transactional Behavior This chapter is a kind of apologia for MongoDB’s lack of complex, multidocument ... cases and the application of MongoDB patterns to solving domain-specific problems. Welcome back to the MongoDB Schema Design Patterns series. MongoDB; Schema Design; By Ken W. Alger and Daniel Coupal. Building With Patterns: The Outlier Pattern Learn More About MongoDB at MongoDB University. Each chapter here covers a particular problem domain and the techniques and patterns It is perfectly … - Selection from MongoDB Applied Design Patterns [Book] MetLife was able to leverage MongoDB and the Polymorphic Pattern to build their single view application in a few months. Especially when that solution would not be optimal for the majority of use cases. The next post in this series will look at the Tree Pattern. It reduces the overall number of documents in a collection, improves index performance, and by leveraging pre-aggregation, it can simplify data access. In this post, we'll take a look at the Attribute Pattern. The cost of using this pattern, however, is that exact numbers aren't being represented and that the implementation must be done in the application itself. When we wanted to query on all athletes, we would need to do a time-consuming and potentially complex join. The Polymorphic Table Pattern . In this post, we’ll take a look at the Attribute Pattern. Chapter 2. Last time we looked at the Polymorphic Pattern which covers situations when all documents in a collection are of similar, but not identical, structure. So far in this Building with Patterns series, we've looked at the Polymorphic, Attribute, and Bucket patterns. Last time we looked at the Polymorphic Pattern which covers situations when all documents in a collection are of similar, but not identical, structure. ficient polymorphism in MongoDB. The concepts of our proposed modeling have been demonstrated against MongoDB. When working with time-series data, using the Bucket Pattern in MongoDB is a great option. DANIEL COUPAL AND KEN W. ALGER If you have questions, please leave comments below. 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