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Organization / Workplace
Beijing US
Occupation
SDE II
- Presentations
- Documents
- Infographics
How Spark Fits into Baidu's Scale-(James Peng, Baidu)
Spark Summit
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8 years ago
Tagging and Processing Data in Real Time-(Hari Shreedharan and Siddhartha Jain, Cloudera and Salesforce)
Spark Summit
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8 years ago
Deep Dive into Project Tungsten: Bringing Spark Closer to Bare Metal-(Josh Rosen, Databricks)
Spark Summit
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8 years ago
Adding Complex Data to Spark Stack-(Neeraja Rentachintala, MapR)
Spark Summit
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8 years ago
Data Storage Tips for Optimal Spark Performance-(Vida Ha, Databricks)
Spark Summit
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8 years ago
Some Important Streaming Algorithms You Should Know About-(Ted Dunning, MapR)
Spark Summit
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8 years ago
Spark as a Platform to Support Multi-Tenancy and Many Kinds of Data Applications-(Kelvin Chu, Uber)
Spark Summit
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8 years ago
Towards True Elasticity of Spark-(Michael Le and Min Li, IBM)
Spark Summit
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8 years ago
IndexedRDD: Efficeint Fine-Grained Updates for RDD's-(Ankur Dave, UC Berkeley)
Spark Summit
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8 years ago
Making Sense of Spark Performance-(Kay Ousterhout, UC Berkeley)
Spark Summit
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8 years ago
Spark-on-Yarn: The Road Ahead-(Marcelo Vanzin, Cloudera)
Spark Summit
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8 years ago
Spark and Spark Streaming at Netfix-(Kedar Sedekar and Monal Daxini, Netflix)
Spark Summit
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8 years ago
Spark DataFrames: Simple and Fast Analytics on Structured Data at Spark Summit 2015
Databricks
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8 years ago
Flyby: Improved Dense Matrix Multiplication-(Tom Vacek, Thomson Reuters)
Spark Summit
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8 years ago
Rate it Again
Xavier Amatriain
•
14 years ago
UMAP 2011: Analyzing User Modeling on Twitter for Personalized News Recommendations
Web Information Systems, TU Delft
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12 years ago
Social Trust-aware Recommendation System: A T-Index Approach
Nima Dokoohaki
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14 years ago
Recommendations as a Conversation with the User
Daniel Tunkelang
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12 years ago
Recommender Systems
T212
•
15 years ago