Costin Leau

Presentations

Your Data, Your Search, Elasticsearch

Finding relevant information fast has always been a challenge, even more so in today's growing "oceans" of data. This talk explores the area of real-time full text search, using Elasticsearch, an open-source, distributed search engine built on top of Apache Lucene. The session will showcase how to perform real-time searches on structured and non-structured data alike, how to cope with types and suggestions, do social graph filters and aggregations for efficient analytics. All from a Spring perspective Last but not least, the presentation focuses on the Hadoop platform and how Map/Reduce, Hive, Pig or Cascading jobs can leverage a search engine to significantly speed up execution and enhance their capabilities.

The presentation covers architectural topics such as index scalability, data locality and partitioning, using off and on-premise storages (HDFS, S3, local file-systems) and multi-tenancy.

Spring Data Community Lightning Talks

Spring Data has stared as an umbrella project consisting of many individual modules - per supported data store. While some of these data store modules - like the JPA and MongoDB ones - are maintained by Pivotal engineers a lot of community implementations have popped up lately. They build on the foundations of the Spring Data Core module and expose the Spring Data programming model for others stores.

The session will feature maintainers and contributors of the community modules for Solr (Christoph Strobl), Elasticsearch (Costin Leau), Couchbase (Michael Nitschinger) and MongoDB (Peter Bell), who will talk about the latest and greatest features of the upcoming releases and give an impression of how they used the APIs of Spring Data Core to build the module.

session detail