Randy Shoup, Consulting CTO, shares the history of reactive services and visits key milestones in their evolution: async techniques at Google, real-time search at Ebay, & responsive games at Kixeye.
Aaron Gardner pulls back the covers on the Etsy Search ecosystem and how they got here -- the good, the bad, and the funky.
Yann Yu discusses how Solr and Hadoop complement each other, and how to use Solr as a real-time, analytical, full-text search front-end to data stored in Hadoop.
This talk provides a broad overview of the new features introduced in the latest Spring Data release trains: recent additions in Spring Data Commons and the latest features of individual store modules
The authors discuss some of the unique challenges they've faced delivering highly personalized search over semi-structured data at massive scale.
In this solutions track talk, sponsored by Cloudera, Eva Andreasson discusses how search and Hadoop can help with some of the industry's biggest challenges. She introduces the data hub concept.
Christopher Simons suggests using SBSE to iterated through multiple possible solutions and select the one that performs the best, offering insight into some available tools and techniques.
Graham Tackley dives into the details of ophan. Shay Banon covers the technical underpinnings of ophan with a deep dive into the Elasticsearch features and functionality that power the ophan systems.
Mark Harwood shows how anomaly detection algorithms can spot card fraud, incorrectly tagged movies and the UK's most unexpected hotspot for weapon possession.
Baruch Sadogursky overviews and compares search and testing tools available to Grails developers.
Michael Brunton-Spall shares his experience re-architect The Guardian’ Content API from a system based on Solr to a message queue cloud service based upon Elastic Search, without any downtime.
Kumar Palaniapan and Scott Fleming present how NetApp deals with big data using Hadoop, HBase, Flume, and Solr, collecting and analyzing TBs of log data with Think Big Analytics.