Adding Spark (and Security) to Elasticsearch for Hadoop
Using Elasticsearch within the Hadoop ecosystem just got a lot more interesting with our latest release. As the Hadoop landscape continues to evolve, Elasticsearch for Apache Hadoop (ES-Hadoop) makes combining the big data analytics capabilities of Hadoop with the incredibly fast search power of Elasticsearch easy.
In this video, Costin Leau, Lead on ES-Hadoop, and Bala Venkatrao, Director of Product Management, will walk you through the new features in ES-Hadoop 2.1, notably:
- Native integration with Spark and Spark SQL
- Enhanced security
- Support for Storm integration
Predikto, a predictive analytics startup, will also share their ES-Hadoop story about how to leverage data gathered from disparate sources across the industrial Internet of Things to proactively anticipate equipment failure.
Feel free to take ES-Hadoop 2.1 for a spin! We'd love to know what you think.
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Costin LeauCostin Leau leads Elastic's Hadoop efforts. An open source veteran, Costin led various Spring projects and authored an OSGi spec. He is also a speaker at various editions of EclipseCon/OSGi DevCon, JavaOne, Devoxx/Javapolis, JavaZone, SpringOne, TSSJS on Java/Spring/Hadoop-related topics.
Vice President of Engineering, Predikto, Inc.
Roy currently leads engineering for Predikto, a predictive analytics startup based in Atlanta, GA. He was the Co-Founder and VP of Product Management for Atlanta-based Marketing Automation vendor, LoopFuse; recently acquired by Atlanta-based SalesFusion, Inc. Roy also helped co-found JBoss Portal, a JSR-168 compliant enterprise Java Portal, and represented JBoss on the Java Content Repository, JSR-170.