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Spark Summit East 2015 agenda

January 20, 2015 By editor

The agenda for Spark Summit East 2015 (18-19 March) in New York City has just been published. I’ve listed the topics being covered and highlighted the ones that piqued my interest.

Developer stream

  • Beyond SQL: Spark SQL Abstractions For The Common Spark Job
  • Streaming Big Data Analytics with Team Apache: Spark & Spark Streaming, Kafka and Cassandra
  • Spark User Concurrency and Context/RDD Sharing at Production Scale
  • Power Hive with Spark
  • Spark Application Carousel: Highlights of Several Applications Built with Spark
  • GraphX: Graph Analytics in Spark
  • Experience and Lessons Learned for Large-Scale Graph Analysis using GraphX
  • Towards Modularizing Spark Machine Learning Jobs
  • Spark Streaming—The State of the Union and the Road Beyond
  • Using Spark and Elasticsearch for real-time data analysis
  • Accumulo and Spark: Geospatial processing with more distribution, less shuffle

Applications stream

  • Spark Plugs Into Your Car
  • When Spark meets Baidu
  • Plot all the data—Interactive visualization of massive datasets
  • Real-Time Recommendations using Spark
  • Estimating Financial Risk with Spark
  • Spark’ing an Anti Money Laundering Revolution
  • Recommendations in a Flash: How Gilt Uses Spark to Improve Its Customer Experience
  • Graph-Based Genomic Integration using Spark
  • Geospatial and Temporal Analysis and Visualization
  • SILK: A Spark Based Data Pipeline to Construct a Reliable and Accurate Food Dataset
  • Finding Shoe Stores in more than 100k Merchants: Using Apache Spark to group all things!

Data science stream

  • Spark Infrastructure for Lumiata’s Probabilistic Graphical Model of Medical Science
  • Un-collaborative filtering: Giving the right recommendations when your users aren’t helping you
  • Distributed Graph-Based Entity Resolution Using Spark
  • Functionality and Performance Improvement of SparkR and Its Application
  • Practical Machine Learning Pipelines with MLlib
  • Streaming machine learning in Spark
  • HeteroSpark: A Heterogeneous CPU/GPU Spark Platform for Deep Learning Algorithms
  • Multi-modal big data analysis within the Spark ecosystem
  • Visualizing big data in the browser using Spark
  • Interactive Scientific Image Analysis and Analytics using Spark
  • Next-Generation Genomics Analysis Using Spark and ADAM
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