Schemaless data modeling with Bigtable and Groovy
NoSQL datastores like Bigtable and CouchDB are becoming more and more hip these days because they solve the problem of scalability on a massive scale. Google, Twitter, Digg and Facebook are just a few of the big names that have adopted NoSQL, and we’re in early days yet. Schemaless datastores, however, are fundamentally different from traditional relational databases. Leveraging them is easier than you might think, especially if you start with a domain model, rather than a relational one.
Check out IBM DeveloperWorks‘ “Schemaless data modeling with Bigtable and Groovy’s Gaelyk” and see for yourself how refreshing schemaless datastore modeling combined with the power of Groovy really is!
About Andrew Glover
Andrew is the founder of the easyb BDD framework and the co-author of Addison Wesley's "Continuous Integration", Manning's "Groovy in Action" and "Java Testing Patterns". He is an author for multiple online publications including IBM's developerWorks and Oreilly's ONJava and ONLamp portals. He actively blogs about software at thediscoblog.com.
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Current Topics:
- Languages on the JVM: Scala, Groovy, Clojure
- Enterprise Java
- Core Java, Java 7
- Agility
- Testing: Geb, Spock, Easyb
- REST
- NoSQL: MongoDB, Cassandra
- Hadoop
- Spring 3
- Automation Tools: Git, Hudson, Sonar
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