Recorded at SpringOne2GX 2013 in Santa Clara, CA

Speaker: Costin Leau, 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.

Learn more about Spring Data and Elasticsearch at: http://projects.spring.io/spring-data

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