In this paper, we take a step towards bringing the many benefits of the MapReduce model to incremental one-pass analytics. In the new model, the MapReduce ...
In this paper, we seek to answer a fundamental question: what architectural changes are necessary to bring the benefits of the MapReduce computation model to ...
[PDF] Towards Scalable One-Pass Analytics Using MapReduce - LASS
lass.cs.umass.edu › datacloud11-sopa
In this paper, we seek to answer a fundamental question: what architectural changes are necessary to bring the benefits of the MapReduce computation model to ...
This paper examines, from a systems standpoint, what architectural design changes are necessary to bring the benefits of the MapReduce model to incremental one- ...
To answer this question, we first conduct a detailed empirical performance study of current MapReduce implementations including Hadoop and MapReduce Online ...
This article examines, from a systems standpoint, what architectural design changes are necessary to bring the benefits of the MapReduce model to incremental ...
Today's one-pass analytics applications tend to be data-intensive in nature and require the ability to process high volumes of data efficiently. MapReduce ...
To answer this question, we first conduct a detailed empirical performance study of current MapReduce implementations including Hadoop and MapReduce Online ...
A new data analysis platform that employs hash techniques to enable fast in-memory processing, and a new frequent key based technique to extend such ...
This paper examines, from a systems standpoint, what architectural design changes are necessary to bring the benefits of the MapReduce model to incremental one- ...
Use EMR for Log Analysis, Web Indexing, Machine Learning, Scientific Simulation and More. Automatically Resize Your Cluster for Best Performance at Low Cost with Managed Scaling. Free Tier Details. Get Started on AWS.