How many times has a customer told you they want to search in their application “like Google“? How many times was the search engine in your application too slow? Hibernate Search brings full-text search capabilities to a persistent domain model, providing Google-like search capabilities while avoiding the traditional cost and difficulties to set up such solutions.
In this session, you will learn what problems Hibernate Search can solve and you will follow the steps of adding it to a Hibernate based application. You will build your own application specific full-text search engine. We will also explore advance subjects such as clustering and the underlying of phonetic approximation.
About the speaker - Emmanuel Bernard
Emmanuel is a Lead developer at JBoss, a division of Red Hat. After graduating from Supelec (French “Grande Ecole”), Emmanuel has spent a few years in the retail industry where he started to be involved in the ORM space. He joined the Hibernate team 4 years ago. Emmanuel is the lead developer of Hibernate Annotations and Hibernate EntityManager, two key projects on top of Hibernate core implementing the Java Persistence(tm) specification, as well as Hibernate Search and Validator. Emmanuel is a member of the EJB 3.0 expert group and the spec lead of JSR 303: Bean Validation. He is a regular speaker at various conferences and JUGs, including JavaOne, JBoss World and JavaPolis and the co-author of Hibernate Search in Action from Manning.