MongoDB has been designed for versatility, but the techniques you might use to build, say, an analytics engine or a hierarchical data store might not be obvious. In this talk, we’ll learn about MongoDB in practice by looking at four hypothetical application designs (based on real-world designs, of course). Topics to be covered include schema design, indexing, transactions (gasp!), trees, what’s fast, and what’s not. Sprinkled with…
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MongoDB Schema Design by Example; Kevin Hanson & Jesse Davis, 10gen
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Neo4j: Adding a Recommendation Engine to Your Existing Application; Max De Marzi
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MongoDB Sharding; Jesse Harris, 10gen
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Simple, Fast and Elastic with Couchbase; Raghavan "Rags" Srinivas, Couchbase
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Hadoop and Hive - The NoDatabase Database; Dean Wampler
WIndyCityDB 2012
WindyCityDB is a 2-day conference focused on NoSQL databases. The 2012 conference featured four NoSQL databases:
* MongoDB
* Neo4j
* Couchbase
* Hadoop
Each database received a half-day of attention: A 45-minute presentation with the remaining time devoted to hands-on lab exercises. Presentation videos are posted here.
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