Sharding with Hibernate
As I’ve pointed out before, sharding isn’t for everyone, but it’s one way that relational systems can meet the demands of huge data. For some shops, sharding means being able to keep a trusted database like MySQL in place without sacrificing data scalability or system performance. In this installment of the Java development 2.0 series, dubbed “Sharding with Hibernate Shards” find out when sharding works, and when it doesn’t, and then get your hands busy sharding a simple Hibernate & Spring application capable of handling terabytes of data.
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.
More About Andrew »Why Attend the NFJS Tour?
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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
- HTML5, Ajax, jQuery, Usability
- Mobile Applications - iPhone and Android
- More...
NFJS, the Magazine
December Issue Now AvailableBDD and REST
by Brian SlettenMocks and Stubs in Groovy Tests
by Kenneth KousenAlgorithms for Better Text Search Results
by John GriffinKnowns and Unknowns of Scrum and Agile
by Brian Tarbox

