Spark Summit 2015: Data Science and Engineering at Scale
Details
https://spark-summit.org/2015/
Spark Summit is coming in 2 weeks (June 15 - 18) in San Francisco. It is a community event focused on data science and engineering at scale. This year, we have an exciting list of keynotes and sessions.
Please note that you need to purchase tickets to the event. RSVP here does not give you access. Use discount code “SFmeetup” to get 15% off registration.
Some keynote highlights:
Software Above the Level of a Single Device: The Implications – Tim O'Reilly (O'Reilly Media)
Spark at NASA/JPL – Chris Mattmann (NASA)
Doug Wolfe (Central Intelligence Agency)
Fireside chat with Ben Horowitz (Andreessen Horowitz)
Field Notes from Expeditions in the Cloud – Matt Wood (Amazon Web Services)
How Spark Fits into Baidu's Scale – James Peng (Baidu)
A Tale of a Data-Driven Culture – Gloria Lau (Timeful/Google)
Spark Community Update – Matei Zaharia (MIT/Databricks)
Session Highlights:
Appraiser : How Airbnb Generates Complex Models in Spark for Demand Prediction – Hector Yee (Airbnb)
Spark and Spark Streaming at Netflix – Kedar Sadekar (Netflix), Monal Daxini (Netflix)
Hybrid Community Detection for Web-scale E-commerce Using Spark Streaming and GraphX – Ming Huang (Alibaba Taobao)
Lessons Learned with Spark at the US Patent & Trademark Office – Christopher Bradford (OpenSource Connections)
Solving Low Latency Query Over Big Data with Spark SQL – Julien Pierre (Microsoft)
SparkR: The Past, the Present and the Future – Shivaram Venkataraman (UC Berkeley AMPLAB), Rui Sun (Intel Asia Pacific R&D)
Use of Spark MLlib for Predicting the Offlining of Digital Media – Christopher Burdorf (NBC Universal)
Look forward to seeing you at the summit!