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Table-like structures, I am calling them containers here. Still standardize the approach based on following steps.Īs different NoSQL databases have custom names to Schema will vary widely based on the NoSQL type & database chosen, we can Us all the ingredients to start with the schema design. Patterns, conceptual model & list of attributes elicited above should give Hence, Agile approach should be adopted for NoSQL design. Since schema design in NoSQL is query driven & queries can change based on requirements, NoSQL design must be revisited and modified iteratively as needed. This helps us in coupling NoSQL schema design with that of the application query patterns & workflows.
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A set of user stories should be elicited explicitly for NoSQL design & cross-referenced with application user stories that specify code development for the same business requirement. I recommend leveraging Agile practices such as requirements elicitation & analysis through User Stories for this purpose. A combination of attributes appearing in query patterns indicates Repeatedly in multiple query patterns, then it can be shortlisted for primary Query predicates as it provides lot of information on how we approachĭenormalization & key design. Pay special attention to the elicitation of If you are migrating from RDBMS to NoSQL and have requirement expressed as SQL Specify Query Patterns in simple English or pseudo-SQL Specify the business requirement for application which
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This enables us to anchor all query requirementsīy Entities & their attributes and helps in Data Governance later on. You can leverage any existing Conceptual Models orĭomain Driven Designs to elicit Data Entities & Domains and use them to The query requirements elicitation should include following specifications at a minimum: Of attributes, all of which are inter-dependent on the application queries Schemaĭesign for NoSQL usually involves designing Keys, Indexes & Denormalization Application Workflows & Query Patternsĭatabases are ‘ Schema for Read’, elicitingĭetailed application query patterns is a critical first step in the Query Driven Design for NoSQL. Hence, NoSQL follows ‘ Query Driven Design’.ġ. This is departure from RDBMS where we used to design for optimizing storage, in case of NoSQL we design for access. This commonality provides us the basis for standardization, in a sense that all of them should be designed based on application query patterns. All of these NoSQL types are key: value at its core, distributed & designed for a certain set of use cases. In this article, I attempt to provide a standard approach to design schema for diverse NoSQL data model types. Hence, there is a real need toĭevelop a standard, yet customized approach to design all types of NoSQLĭatabases by taking into consideration their similarities & differences. Solution for all use cases such as RDBMS. When it comes to NoSQL as these technologies do not provide one-stop schema On the contrary, design is of out-most importance Other hand, argue that one of their motivations in choosing NoSQL was that it Paradigm (Conceptual > Logical > Physical Models), developers on the Whileĭata architects try to design NoSQL through a traditional data modeling Schema or developing a data model for NoSQL is a topic of immense debate. The next task is to design a schema for the selected database.
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