Spark Summit
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Entreprise/Lieu de travail
San Francisco, California
Secteur d’activité
Technology / Software / Internet
Site Web
spark-summit.org
Mots-clés
apache spark spark summit east spark summit 2015 spark summit spark summit eu #apachespark #sparksummit #sparksummit #apachespark
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Plus récents Les plus populaires

Some Important Streaming Algorithms You Should Know About-(Ted Dunning, MapR)

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Taming GC Pauses for Humongous Java Heaps in Spark Graph Computing-(Eric Kaczmarek and Liqi Yi, Intel)

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A Data Frame Abstraction Layer for SparkR-(Chris Freeman, Alteryx)

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The Little Warehouse That Couldn't Or: How We Learned to Stop Worrying and Move to Spark-(Yandu Oppacher, Shopify)

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Migrating Complex Data Aggregation from Hadoop to Spark-(Ashish Singh andPuneet Kumar, PubMatic)

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Towards Benchmaking Modern Distruibuted Systems-(Grace Huang, Intel)

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Diagnosing Open-Source Community Health with Spark-(William Benton, Red Hat)

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Integrating Spark and Solr-(Timothy Potter, Lucidworks)

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Appraiser: How Airbnb Generates Complex Models in Spark for Demand Prediction-(Hector Yee, Airbnb)

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Lessons Learned with Spark at the US Patent & Trademark Office-(Christopher Bradford, Open Source Connections)

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Spark and Spark Streaming at Netfix-(Kedar Sedekar and Monal Daxini, Netflix)

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Use of Spark MLib for Predicting the Offlining of Digital Media-(Christopher Burdorf, NBC Universal)

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Flyby: Improved Dense Matrix Multiplication-(Tom Vacek, Thomson Reuters)

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Extending Word2Vec for Performance and Semi-Supervised Learning-(Michael Malak, Oracle)

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Deconstructiong Recommendations on Spark-(Ilya Ganelin, Capital One)

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Healthcare Predictive Analytics with the OR-(Denny Lee and Ayad Shammout, Databricks and Beth Israel Deaconess Medical Center)

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IndexedRDD: Efficeint Fine-Grained Updates for RDD's-(Ankur Dave, UC Berkeley)

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Building, Debugging, and Tuning Spark Machine Leaning Pipelines-(Joseph Bradley, Databricks)

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Digital Attribution Modeling Using Apache Spark-(Anny Chen and William Yan, Adobe)

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Dynamic Community Detection for Large-scale e-Commerce data with Spark Streaming and GraphX-(Ming Huang, Taobao)

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