PRESENTATION - June 22, 2016

Webinar: MongoDB Schema Design and Performance Implications

Designing a schema that fits your applications functionality, growth and performance enables you to get the most value out of MongoDB. While most engineers have been taught how to design schema for relational databases, the same rules don't always apply to MongoDB. In this session, you will learn how to translate one-to-one, one-to-many and many-to-many relationships, and learn how MongoDB's JSON structures, atomic updates and rich indexes can influence your design. We will also explore implications of storage engines, indexing and query patterns, available tools and related new features in MongoDB 3.2.

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PRESENTATION - June 22, 2016

Webinar: MongoDB Schema Design and Performance Implications

View Presentation

Designing a schema that fits your applications functionality, growth and performance enables you to get the most value out of MongoDB. While most engineers have been taught how to design schema for relational databases, the same rules don't always apply to MongoDB. In this session, you will learn how to translate one-to-one, one-to-many and many-to-many relationships, and learn how MongoDB's JSON structures, atomic updates and rich indexes can influence your design. We will also explore implications of storage engines, indexing and query patterns, available tools and related new features in MongoDB 3.2.

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