The Dark Side of NoSQL
The Dark Side of NoSQL
The Dark Side of NoSQL
The Dark Side of NoSQL
The Dark Side of NoSQL
The Dark Side of NoSQL
The Dark Side of NoSQL
The Dark Side of NoSQL
The Dark Side of NoSQL
The Dark Side of NoSQL
The Dark Side of NoSQL
The Dark Side of NoSQL
The Dark Side of NoSQL
The Dark Side of NoSQL
The Dark Side of NoSQL
The Dark Side of NoSQL
The Dark Side of NoSQL
The Dark Side of NoSQL
The Dark Side of NoSQL
The Dark Side of NoSQL
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The Dark Side of NoSQL

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NoSQL databases like MongoDB are making it easier than ever for developers to quickly build complex, agile applications that scale well. Unfortunately, the rise of NoSQL has dark side: data stored in NoSQL databases is invisible to traditional business analytics and intelligence apps. As a result, operations often spends a massive amount of time and effort developing complex pipelines to transform NoSQL data into a format compatible with traditional RDBMS. In this talk, John A. De Goes introduces SlamData, a new open source project designed to build a NoSQL BI application by extending the operations and data model of relational algebra. The result is backward compatible with SQL, but allows freeform analytics on semi-structured, heterogeneous, deeply nested data. John discusses the design of SlamData and highlights some of the issues involved in bringing the project to life.

Published in: Technology
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